Electromechanical Coupling Dynamic Characteristics of the Dual-Motor Electric Drive System of Hybrid Electric Vehicles

Abstract

The electric mode is the main operational mode of dual-motor hybrid electric vehicles (HEVs), so the reliability of the dual-motor electric drive system (DEDS) is particularly important. To research the electromechanical coupling mechanism of the DEDS of HEVs, firstly, considering the time-varying mesh stiffness of gears and the nonlinear characteristics of inverters, an electromechanical coupling dynamics model of the DEDS was established, including the permanent magnet synchronous motor (PMSM) and the gear transmission system. Then, the electromechanical coupled dynamic characteristics of the DEDS in the single-motor and dual-motor drive modes were analyzed under steady-state and impact load conditions, respectively. The results show that the motor stator current frequency is modulated by the complicated gear meshing frequency, and the operation state of the gear transmission system can thus be monitored in the stator current. Impact load causes the instantaneous torsional vibration of the transmission system dominated by the first-order natural frequency, and the vibration characteristic frequency appears in the form of a side frequency in the stator current signal; moreover, compared with the single-motor drive mode, the speed synchronization error in the dual-motor drive mode will aggravate torsional vibration in the gear system. The impact energy of the gear system caused by external impact load can be suppressed by reducing the speed synchronization error.

1. Introduction

Due to the need for energy conservation and environmental protection, countries around the world are competing to develop hybrid energy vehicles. Compared to single-motor electric vehicles, hybrid electric vehicles (HEVs) have better range, economy, and power, and the status of HEVs is constantly improving. In recent years, many automotive companies have developed a variety of hybrid systems; among these, the dual-motor system (DEDS) has received increasing attention due to its multiple power drive modes and better power performance. However, the electrical systems and gear systems of the DEDS of HEVs are directly coupled through the motor shaft, which leads to the gear meshing state deteriorating more easily, resulting in vibration and noise. At the same time, there are multisource compound excitations in DEDS, such as torque pulsation, time-varying gear stiffness and gear error, and the interaction between electrical system excitation and gear system excitation, which leads to the deterioration of the whole system’s operational state. The DEDS of HEVs integrates two drive motors and a relatively complex drive system, which leads to more complex characteristics in the electromechanical coupling dynamic under different drive modes. Under unsteady conditions, such as impact conditions, the DEDS suffers from the transient vibration caused by severe impact loads, which can cause fatigue damage to each component. Therefore, it is important to study the electromechanical coupling effect of DEDS and analyze the dynamic characteristics of electromechanical coupling in the DEDS under different operating conditions and driving modes.

For the electromechanical coupling dynamics of the electric drive system, Liu et al. [1] established an electromechanical coupling model of a robot grinding system, and analyzed the vibration characteristics of the system. The authors finally improved the stability of the motor speed by establishing a fuzzy controller to suppress the elastic vibration of the system. Yi et al. [2] established an electromechanical coupling dynamics model of a multistage gear drive and analyzed the dynamic characteristics and weak points of the coupled electromechanical system under the excitation of impact loads. Zhang et al. [3] studied the dynamic characteristics of a high-speed train’s driving system under constant speed, braking conditions, and traction conditions, and the results showed that the motor current frequency contains an engagement frequency and a harmonic frequency, and the motor current has different response characteristics under different operating conditions. Jiang et al. [4] established an electromechanical coupling model of a multistage gear transmission, analyzed the influence of the electromagnetic effect of the motor on the system, and revealed the resonance point of the system by using a Campbell diagram. Abouzeid et al. [5] proposed an active vibration suppression method based on a proportional resonance controller to address the torsional vibration problem in an electric transmission system. Boukhezzar et al. [6] established an electromechanical coupling model of a coal mining machine, and the research results show that impulse load and stiffness failure will lead to chaotic motion of the system. Li et al. [7] revealed that the eccentricity of a motor’s rotor will cause distortion in the air-gap’s magnetic field, and investigated the relationship between the unbalanced magnetic force and the air-gap. Hu et al. [8] compared the dynamic characteristics of an electric drive system in the speed mode and torque mode, and used an active damping control strategy to control the oscillations of the drive system. Chen et al. [9] developed switched reluctance motor and planetary gear dynamics models to study the interaction between coupled and uncoupled electromechanical systems under steady-state and impact load conditions, respectively. Huo et al. [10] established an electromechanical coupling model for the main drive system of a tunnel boring machine. The results showed that the gears’ load, output torque, and radial vibration between the motors varied periodically as the cutter rotated. Chen et al. [11] studied the influence law of electromagnetic and mechanical parameters on vibration stability in coupled electromechanical systems. Shi et al. [12] proposed a new planetary gear mechanism and studied the vibration characteristics of the system under variable speed conditions, and the results showed that this new electric drive system can effectively reduce motor speed fluctuations.

The above research mostly focused on electromechanical coupling systems driven by a single motor, such as single-motor electric vehicles, coal mining machines, shield machines, wind power generation devices, etc. Research on multimotor drive systems with complex dynamic characteristics has been carried out by the following scholars. Fan et al. [13] used the matrix transfer method to establish the dynamics model of a dual-motor drive system, and studied the effects of external excitation and meshing stiffness on the dynamic characteristics of the system. Hu et al. [14] revealed that the small sun gear in the compound planetary gear set is the main source of noise and vibration in the system in the dual-motor drive mode. Wang et al. [15] proposed a model prediction and control algorithm to suppress the vibration to reduce the impact of motor torque mutation on the transmission system. Yue et al. [16] proposed an active control strategy of motor torque compensation for the torsional vibration problem caused by the rapid change in the drive torque in the dual-motor electric drive system. Wei et al. [17] investigated the synchronization characteristics of a multisource drive system under different load change rates, revealing that the load change rate has little effect on the synchronization characteristics of the system, but has a significant effect on the electromagnetic torque and stator current of the motor. Xiong et al. [18] proposed a biased coupling and cognitive heuristic algorithm to effectively improve the synchronization accuracy of a two-motor drive system. Wang et al. [19] established the dynamics model of a three-motor drive and compared the vibration response of the system with a variable frequency drive and an ideal power drive. Han et al. [20] established the electromechanical coupling model of a ship’s dual motor drive system and studied the effect of gear error on system vibration.

To summarize, some scholars have modeled the electromechanical coupling of electric drive systems by equating the gear system to a spring-loaded oscillator connected to the motor rotor, simplifying the motor to an equivalent circuit model only, or ignoring the nonlinear characteristics of the inverter in the motor controller. However, electric drive systems are multivariable, strongly coupled, and time-varying nonlinear systems, so the above simplifications make it difficult to accurately study their dynamic characteristics. In the analysis of the dynamic characteristics of electromechanical coupling of the dual-motor electric drive systems, the research works of the above scholars mainly focus on the inherent vibration characteristics of the multisource drive system and the influence of synchronization characteristics on the dynamic characteristics of the system; few scholars have analyzed the dynamics of the dual-motor electric drive systems of HEVs under different operating conditions in different drive modes, and the coupling effect between the two motors and the gear system has rarely been reported.

To address the above problems, a torque-coupled DEDS of an HEV is taken as the research object in this paper. Considering the time-varying mesh stiffness of gears and the nonlinear characteristics of inverters, an electromechanical coupling dynamics model of the DEDS was established, including the permanent magnet synchronous motor (PMSM) and the gear transmission system. On this basis, the dynamic characteristics of the coupled electromechanical system are simulated and analyzed in the single-motor, low-speed gear drive mode, and the dual-motor, low-speed gear drive mode under steady-state and impact conditions. Finally, the mapping law of the mechanical system’s vibration signal in the motor stator current under steady-state and impact conditions is revealed.

The main structure of this paper is as follows: Section 2 couples the electrical system and gear system to obtain a model of the electromechanical coupling dynamics of a DEDS; Section 3 analyzes the electromechanical coupling dynamics of a DEDS under constant speed and constant load conditions in the single-motor drive mode and dual-motor drive mode; Section 4 analyzes the electromechanical coupling dynamics of a DEDS under impact conditions in the single-motor drive mode and dual-motor drive mode; Section 5 gives the conclusion.

2. Electromechanical Coupling Dynamics Model of the DEDS of an HEV

Figure 1 shows the schematic diagram of a torque-coupled dual-motor electric drive system (DEDS) of a hybrid electric vehicle (HEV).

2.1. Model of a PMSM

In modeling the motor for ease of analysis, it is assumed that the three-phase PMSM is an ideal motor. Therefore, the losses of the motor are neglected, the saturation of the core of the motor is not considered, and the three-phase currents are assumed to be symmetrical sinusoidal currents. The stator voltage equation of the motor in the d–q axis is shown below:

$$\{\begin{array}{l}{u}_d=R{i}_d+\frac{d}{dt}{\phi }_d-{\omega }_e{\phi }_q\\ u_q=R{i}_q+\frac{d}{dt}{\phi }_q-{\omega }_e{\phi }_d\end{array}$$

(1)

$$\{\begin{array}{l}{\phi }_d=L_d{i}_d+{\phi }_f\\ {\phi }_q=L_q{i}_q\end{array}$$

(2)

The equation of the electromagnetic torque is:

$$T_e=\frac{3}{2}{P}_n{i}_q\left[i_d\left(L_d-L_q\right)+{\phi }_f\right]$$

(3)

where u_d and u_q denote the stator voltage of the d–q axis, respectively; i_d and i_q denote the stator current of the d–q axis, respectively; R denotes the stator resistance; ${\omega }_e$ denotes the electric angular velocity; L_d and L_q denote the inductance components of the d–q axis, respectively; ${\phi }_f$ denotes the flux linkage of permanent magnets; and P_n denotes the number of pole pairs in the motor. The parameters of the PMSM are shown in

Table 1. Parameters of PMSM.

Parameter	Value
	Motor 1	Motor 2
Power P (kW) Number of pole pairs Pn Rated speed n (rpm) Rated torque Te (Nm) Stator resistance R ($\mathsf{\Omega }$) D axis inductance Ld (mH) Q axis inductance Lq (mH)	90 5 4000 214 0.012 0.196 0.149	80 5 4800 153 0.012 0.101 0.296

.

2.2. Nonlinear Model of the Inverter

In the motor control system, the role of the inverter is to turn the direct current (DC) voltage into alternating current voltage. The inverter circuit primarily consists of a three-phase bridge arm. To avoid the bridge arm breaking down and damaging the insulated gate bipolar transistor (IGBT), it is necessary to set a delay t_d to protect the transistor before the drive signal. The same two bridge arm transistors are in the off-state time, called dead time:

$$T_d=t_d+t_{on}-t_{off}$$

(4)

where T_d denotes the dead time; t_d denotes the delay time; t_on denotes the time required for the transistor to turn on; and t_off denotes the time required for the transistor to turn off.

Figure 2a shows that when the switching tube is turned on, a drop in the on-state voltage of the transistor occurs; when the switching tube is turned off, drop in the renewal voltage of the transistor occurs. The above reasons lead to many harmonic voltages in the actual output voltage of the inverter, which has a large deviation from the ideal voltage. The difference between the actual voltage and the ideal voltage is the error voltage, as shown in Figure 2b.

In a pulse width modulation (PWM) cycle, the error voltage is averaged over the cycle time, according to the area equivalence principle, to obtain the average error voltage:

$$\Delta u|{}_{i_a>0}=-\frac{T_d}{T_{\mathrm{PWM}}}(u_{dc}+v_d-v_t)-\frac{v_d+v_t}{2}$$

(5)

$$\Delta u|{}_{i_a<0}=\frac{T_d}{T_{\mathrm{PWM}}}(u_{dc}+v_d-v_t)+\frac{v_d+v_t}{2}$$

(6)

where v_t denotes the on-state voltage drop of the switching tube; v_d denotes the off-state voltage drop of the current-continuing diode.

Fourier decomposition of the signal yields an expression for the average error voltage of the inverter [21]:

$$\Delta u_{err}=\frac{4}{\pi }\Delta u(\cos \omega t+\frac{1}{3}\cos 3\omega t+\frac{1}{5}\cos 5\omega t+\frac{1}{7}\cos 7\omega t+\dots )$$

(7)

From the Fourier decomposition results, the nonlinearity of the inverter generates many harmonic components into the motor current, which causes the motor to produce harmonic currents. PMSM stator windings mostly adopt star connections, so the third and integer third harmonic components of the stator current cannot flow. The parameters of the inverter are shown in

Table 2. Permanents of the inverter.

Parameter	Value
Battery DC voltage udc (V) Modulation carrier period TPWM (us) Dead time td (us) IGBT turn-on time ton (us) IGBT turn-on time toff (us) The conduction voltage drops of freewheeling diode vd (V)	450 100 4 1 2 2
Voltage drops of IGBT switch vt (V) Modulation carrier frequency fc (kHz)	3 10

.

From Figure 3, the nonlinearity of the inverter of motor 1 under rated operating conditions (rated speed, rated load) causes 6th-order, 12th-order, and 18th-order torque fluctuations, of which, the amplitude of the sixth harmonic component is the largest, verifying the theoretical analysis of the nonlinear characteristics of the inverter.

2.3. Implementation of the SVPWM Algorithm

In the field of inverter control for automotive permanent magnet synchronous motors, seven-segment space vector pulse width modulation (SVPWM) algorithms are mostly used to control the operation of the inverters. As shown in Figure 4a, eight combinations of spatial voltage vectors divide the complex plane into six sectors, and within a switching cycle, the SVPWM algorithm takes two fundamental voltage vectors within a sector so that their average value is equal to the voltage vector of a given demand. As shown in Figure 4b, the switching time point of the inverter in the sector where the demand voltage vector is located is obtained through calculation, and the switching time point of the inverter is compared with the triangle carrier signal to generate the PWM pulse signal.

Based on the average equivalence principle, the SVPWM algorithm uses a segmented approximation of the voltage vector to drive the motor, which will cause current harmonic currents, and thus torque fluctuations. The Fourier series expansion of the voltage output from the inverter is [22]:

$$\begin{array}{l}F(t)=\frac{A_{00}}{2}+{\displaystyle \sum _{k=1}^{\infty }(A_{0k}\cos k{w}_{r}t+B_{0k}\sin k{w}_{c}t)+}\\ {\displaystyle \sum _{n=1}^{\infty }(A_{n0}\cos n{w}_{c}t+B_{n0}\sin w_{c}t)+{\displaystyle \sum _{n=1}^{\infty }{\displaystyle \sum _{k=\pm 1}^{\pm \infty }\left[A_{kn}\cos (k{w}_{r}t+n{w}_{c}t)+B_{kn}\sin (k{w}_{r}t+n{w}_{c}t)\right]}}}\end{array}$$

(8)

where w_c denotes carrier frequency and w_r denotes modulated wave frequency.

Figure 5 shows the electromagnetic torque of motor 1 under rated operating conditions. In the low-frequency region, the sixth nth-order harmonic component dominates, and in the high-frequency region, it is mainly the PWM switching frequency f_c, and its side band has a current frequency. The format is presented as |a f_e1 ± f_c| (a = 1, 2, …).

2.4. Vector Control Model for PMSM

Figure 6 shows the vector control block diagram of the three-phase PMSM, which is primarily composed of the speed loop, current loop, maximum torque per ampere, SVPWM, the inverter, etc. Where ${\omega }_e{}^{*}$ denotes the target speed of motor; i_s* denotes the target current; i_d* and i_q* denote the current instructions of d and q axis, respectively; U_d* and U_q* denote the voltage instructions of d and q axis, respectively; U_α* and U_β* denote the voltage instructions of SVPWM.

2.5. Model of Gear System Dynamic of the DEDS

2.5.1. Model of Gear Pair Torsional Vibration

Considering the torsional vibration of the gear, a dynamic model of the torsional vibration of the gear transmission system is established, as shown in Figure 7.

The meshing displacement of the gear along the line of engagement is [23]:

$$\delta =R_1{\theta }_1-R_2{\theta }_2-e$$

(9)

where θ₁ and θ₂ denote the rotation angles of the main and driven gears, respectively; R₁ and R₂ denote the gear index circle radii; and e denotes a meshing error.

The dynamic meshing force of the gear considering meshing stiffness and damping is:

$$F=k_v\left(R_1{\theta }_1-R_2{\theta }_2-e\right)+c_v\left(R_1\stackrel{·}{{\theta }_1}-R_2\stackrel{·}{{\theta }_2}-\stackrel{·}{e}\right)$$

(10)

where $k_v$ denotes the gear pair meshing stiffness and $c_v$ denotes the gear pair meshing damping.

Then, the clearance functions are established, as follows [24]:

$$f\left(x\right)=\{\begin{array}{l}x-b,x>b\\ 0,-b\le x\le b\\ x+b,x<b\end{array}$$

(11)

where 2b denotes the gear pair clearance, when the gear teeth are in a normal meshing state; when f(x) = x−b, the gear teeth are in normal engagement; when f(x) = 0, the gear teeth are in a separated state; and when f(x) = x+b, the meshing gear teeth are in the meshing state of the tooth back.

2.5.2. Dynamic Model of Transmission System

The components of the electromechanical drive system are simplified as concentrated inertia, and the model of the electromechanical drive system’s dynamics is established considering the elastic torsional vibration and rigid body rotation of the gear system. In Figure 8, J_M1, J_M2, and J_LN denote the rotational inertia of motor 1, motor 2, and load, respectively; J_i (i = 1, 2, …, 7) denotes the rotational inertia of the gear; gears 1 and 2 constitute the first gear pair; gears 3 and 4 constitute the second gear pair; gears 5 and 6 constitute the third gear pair; gears 4 and 7 constitute the fourth gear pair; θ_m1, θ_m2, and θ_L denote the rotational inertia of motor 1, motor 2, and load, respectively; θ_i (i = 1, 2, …, 7) denotes the angle of rotation of the i-th gear; k_j and c_j (j = 1, 2, …, 5) denote the stiffness and damping of the j-th shaft, respectively; k_mj and c_mj (j = 1, 2, 3, 4) denote the meshing stiffness and meshing damping of the j-th gear pair, respectively.

$$\{\begin{array}{l}{J}_{M1}\stackrel{··}{{\theta }_{M1}}+c_1\left(\stackrel{·}{{\theta }_{M1}}-\stackrel{·}{{\theta }_1}\right)+k_1\left({\theta }_{M1}-{\theta }_1\right)-T_{M1}=0\\ J_1\stackrel{··}{{\theta }_1}+c_1\left(\stackrel{·}{{\theta }_1}-\stackrel{·}{{\theta }_{e1}}\right)+k_1\left({\theta }_1-{\theta }_{M1}\right)-R_1{F}_1=0\\ J_2\stackrel{··}{{\theta }_2}+c_2\left(\stackrel{·}{{\theta }_2}-\stackrel{·}{{\theta }_3}\right)+k_2\left({\theta }_2-{\theta }_3\right)-R_2{F}_1=0\\ J_3\stackrel{··}{{\theta }_3}+c_2\left(\stackrel{·}{{\theta }_3}-\stackrel{·}{{\theta }_2}\right)+k_2\left({\theta }_3-{\theta }_2\right)-R_3{F}_2=0\\ J_4\stackrel{··}{{\theta }_4}+c_3\left(\stackrel{·}{{\theta }_4}-\stackrel{·}{{\theta }_5}\right)+k_3\left({\theta }_4-{\theta }_5\right)-R_4{F}_2-R_4{F}_4=0\\ J_5\stackrel{··}{{\theta }_5}+c_3\left(\stackrel{·}{{\theta }_5}-\stackrel{·}{{\theta }_4}\right)+k_3\left({\theta }_5-{\theta }_4\right)-R_5{F}_3=0\\ J_6\stackrel{··}{{\theta }_6}+c_4\left(\stackrel{·}{{\theta }_6}-\stackrel{·}{{\theta }_L}\right)+k_4\left({\theta }_6-{\theta }_L\right)-R_6{F}_3=0\\ J_{LN}\stackrel{··}{{\theta }_L}+c_4\left(\stackrel{·}{{\theta }_L}-\stackrel{·}{{\theta }_6}\right)+k_4\left({\theta }_L-{\theta }_6\right)-T_{LN}=0\\ J_7\stackrel{··}{{\theta }_7}+c_5\left(\stackrel{·}{{\theta }_7}-\stackrel{·}{{\theta }_{M2}}\right)+k_5\left({\theta }_7-{\theta }_{M2}\right)-R_7{F}_4=0\\ J_{M2}\stackrel{··}{{\theta }_{M2}}+c_5\left(\stackrel{·}{{\theta }_{M2}}-\stackrel{·}{{\theta }_7}\right)+k_5\left({\theta }_{M2}-{\theta }_7\right)-T_{M2}=0\end{array}$$

(12)

where R_i (i = 1, 2, …, 7) denotes the radius of the i-th gear base circle and F_a (a = 1, 2, 3, 4) denotes the meshing force of the a-th gear pair.

2.6. Electromechanical Coupling Model of the DEDS

The permanent magnet synchronous motor model established above was coupled with the gear transmission system model, as shown in Figure 9. The motor rotor is directly connected to the input shaft of the transmission system, the output speed of the permanent magnet synchronous motor is equal to the speed of the input shaft of the transmission system, and the load transmitted to the input shaft of the gear transmission system is used as the load of the PMSM. The electrical system and the mechanical systems are coupled, to obtain the electromechanical coupling model of the DEDS of an HEV; the expression of the coupled model is:

$$J\stackrel{··}{\theta }+C\stackrel{·}{\theta }+K\theta =T_{LN}+T_M$$

(13)

where J denotes the inertia matrix of the system; C denotes the damping matrix of the system; K denotes the stiffness matrix of the system; θ denotes the angular displacement matrix of the system; T_LN denotes the load torque of the system; and T_M denotes the electromagnetic torque of motor.

The main parameters of the electromechanical coupling system are shown in

Table 3. Parameters of the mechanical system.

Parameter	Value
Stiffness (Nm/rad)	k1 = k5 = 1.2 × 106; k2 = k3 = 1 × 107; k4 = 8 × 103
Damping (Nm $·$ s/rad)	c1= c5 = 4; c2= c3= c4 = 1.7
Inertia (kg $·$ m2)	JM1 = 6.15 × 10−3; JM2 = 5.36 × 10−3; JLN = 0.36; J1 = 1.51 × 10−4; J2 = 1.32 × 10−3; J3 = 1.67 × 10−4; J4 = 7.2 × 10−3; J5 = 1.92 × 10−4; J6 = 1.2 × 10−2; J7 = 1.69 × 10−4
Meshing damping cm	100
Transmission ratio r1	10.5
Transmission ratio r2	8.75

. The coupled electromechanical system model of the DEDS of an HEV is established in MATLAB/Simulink, and simulated using the fourth- and fifth-order Runge–Kutta algorithms.

2.7. Analysis of the Inherent Torsional Vibration Characteristics of the DEDS

According to the knowledge of vibration mechanics, ignoring the internal and external excitation and damping of the system, the free vibration equation of the torsional vibration model is obtained, as follows:

$$J\stackrel{··}{\theta }+K\theta =0$$

(14)

where J denotes the inertia matrix of the system; K denotes the stiffness matrix of the system; and θ denotes the angular displacement matrix of the system.

The eigenvalue problem corresponding to the free vibration equation is as follows:

$$\left|K-f_{Ni}{}^{2}J\right|=0$$

(15)

where $f_{Ni}$ (i = 1, 2, …) denotes the natural frequency of the drive mode of motor 1 of the DEDS, and $f_{Ni}\prime$ (i = 1, 2, …) denotes the natural frequency of the dual-motor drive mode of the DEDS. The natural frequencies of the driveline under different drive modes are shown in

Table 4. Natural frequencies of the driveline under different drive modes.

Order	0	1	2	3	4	5
$f_{Ni}$(Hz)	0	22.1	56.4	159.2	255.3	734.8
$f_{Ni}\prime$(Hz)	0	23.3	58.6	159.2	255.3	734.8

.

3. Analysis of Electromechanical Coupling Dynamics of the DEDS under Steady-State Conditions

To study the electromechanical coupling effect of the DEDS under steady-state conditions, a constant speed and constant load is applied to the system, and parallel control is applied to both motors in the dual-motor drive mode. The motor speed and system load torque under different operating conditions and driving modes are shown in

Table 5. Parameter of the system under steady-state conditions.

Working Mode	System Load Torque (Nm)	Motor Speed (rpm)
		Motor 1	Motor 2
Single-motor drive mode	1155	3000	/
Dual-motor drive mode	1155	3000	2500

. f_et (t = 1, 2) denotes the current frequencies of motor 1 and motor 2, respectively; f_mg (g = 1, 2, 3, 4) denotes the gear meshing frequency of each stage.

3.1. Single-Motor Drive Mode

From Figure 10b, the main frequencies of motor 1′s current fluctuation are the current fundamental frequency f_e1, and the harmonic frequencies 5f_e1 and 7f_e1 caused by the inverter’s nonlinear characteristics of in the single-motor drive mode, the harmonics caused by the nonlinearity of the inverter are marked in red in the figure. Because of the role of low-pass filtering of the motor circuit and the large inertia of the gear system, resulting in a small amplitude of the higher harmonics, the higher harmonics are not listed in this paper. In addition, the current spectrum contains mechanical system vibration frequencies, presented as |a f_e1 ± b f_mg|(a,b = 1, 2, …), which is due to the direct coupling of the electrical and mechanical parts through the motor shaft. The current’s fundamental frequency is modulated by the meshing frequency of gears, so that the current exhibits complex frequency characteristics, indicating that the operation of the gear system can be monitored by the current.

From Figure 10d, the electromagnetic torque power spectral density (PSD) contains abundant information on the meshing frequency of gears and the sixth harmonic component due to the nonlinear characteristics of the inverter, indicating that the electromagnetic torque fluctuations of the motor are mainly excited by the current harmonics and the gear meshing frequency in the DEDS.

It can be seen from Figure 11 that the meshing force of the first gear pair fluctuates up and down around the theoretical value, and the PSD contains the meshing frequencies of all gear pairs, indicating that the gear pairs interact with each other in the gear transmission. In addition, the sixth harmonic component appears in the PSD of the gear pairs, indicating that the mechanical system will be influenced by the harmonics of the electrical system during the operation of the DEDS, and that the DEDS presents a complex electromechanical coupling effect.

3.2. Dual-Motor Drive Mode

From Figure 12b and Figure 13b, in the electromagnetic torque PSD of the two motors in the dual-motor drive mode, in addition to the sixth harmonic component generated by its inverter’s nonlinearity, the sixth harmonic component generated by the nonlinearity of the other motor’s inverter also appears. This is because the two motors are coupled together through the gearing system and affect each other in the dual-motor drive mode. Compared with the PSD of motor 1’s torque, there is no 3f_m1 in the torque PSD of motor 2. The results show that there is a strong coupling effect between the two motors in the dual-motor drive mode.

As can be seen from Figure 14b, the PSD of the meshing force of the first gear pair contains the sixth harmonic component of both motors, generated by the nonlinearity of the inverter in the dual-motor drive mode. It shows that the gear transmission system suffers from harmonic excitation from both motors in the dual-motor drive mode, which aggravates the fluctuation of the meshing force of the gear pair.

4. Analysis of Electromechanical Coupling Dynamics of the DEDS under Impact Conditions

When the dual-motor electric vehicle is driving in complex road conditions, such as speed bumps or uneven roads, the DEDS will be subjected to severe impact loads and continuous cyclic oscillations, which may cause serious fatigue damage to the electric drive system; therefore, it is meaningful to research the dynamic characteristics of the DEDS under impact conditions. The motor speed and system load torque under different operating conditions and driving modes are shown in

Table 6. Parameter of the system under impact conditions.

Working Mode	System Load Torque (Nm)		Motor Speed (rpm)
	Before Impact	After Impact	Motor 1	Motor 2
Single-motor drive mode	1155	2310	3000	/
Dual-motor drive mode	1155	2310	3000	2500

.

4.1. Single-Motor Drive Mode

To research the dynamic response characteristics of the single-motor drive mode of the DEDS under impact conditions, the system is simulated by applying an impact load. The motor speed is set to 3000 rpm, and the load of the DEDS changes abruptly from 1155 Nm to 2310 Nm in the first 1 s, as shown in Figure 15.

Figure 16 and Figure 17 show the time domain and time-frequency domain of motor 1’s speed, and the meshing force of the first gear pair, respectively. The system generates instantaneous vibration, dominated by the first-order intrinsic frequency, when the DEDS encounters an impact load, and the torsional vibration process lasts approximately 0.58 s. This repeated impact is prone to cause fatigue damage to the gear drive system.

Figure 18 shows the response of the motor stator current during the impact process. After the DEDS suffers from the impact load, side frequencies of the form |f_e1 ± f_N1| appear on both sides of the power supply frequency with the system’s first-order natural frequency as the interval, indicating that the motor stator current has a certain ability to monitor the transient torsional vibration of the DEDS.

The PMSM and gear transmission system in the DEDS are directly connected by the motor shaft, so the stiffness and damping characteristics of the motor shaft directly determine the vibration response of the DEDS. To investigate the effect of different motor shaft stiffness damping values on the dynamic characteristics of the gear system caused by the impact load, and to verify the monitoring effect of the motor stator’s current on the vibration of the gear system, five combinations of motor shaft stiffness damping values are set up for simulation, as shown in

Table 7. Motor shaft damping and stiffness.

Case Name	Damping (Nm∙s/rad)	Stiffness (Nm/rad)
Case 1 Case 2 Case 3 Case 4	4 4 4 40	103 104 105 105
Case 5	400	105

.

Figure 19 shows the time domain of the meshing force of the first gear pair with the same motor shaft connection stiffness and different connection damping, and as the motor shaft damping increases, the gear system’s torsional vibration is suppressed, but the excessive damping value aggravates the torsional vibration of the gear system. The above results indicate that the damping of the motor shaft can suppress the dynamic load of the gear pair caused by the impact load, and the suppression of the dynamic load increases with the increase in the damping value, and then decreases. From Figure 20 that different torsional vibration information of gears can be well reflected in stator current signals.

According to Figure 21, a lower motor shaft stiffness can suppress the torsional vibrations of the gear system caused by impact loads. The motor shaft should thus be made of materials with lower stiffness. However, the stiffness of the motor shaft should not be too low, since the motor shaft must meet a certain strength threshold.

From Figure 20 and Figure 22 it can be seen that after the system is subjected to an impact load, there is a sudden change in the amplitude of the frequency related to the gear meshing information in the motor stator current frequency, and the amplitude of the different torsional vibrations of the gear system can be reflected in the current signal. It shows that the motor stator current has an obvious feedback effect on the vibration of the gear system.

4.2. Dual-Motor Drive Mode

To investigate the dynamic response of the electromechanical coupling of the DEDS dual-motor drive mode under impact conditions, the speed of the two motors and the load of the system are shown in Figure 15.

The third gear pair is fully loaded in both single- and dual-motor drive modes, so it is necessary to compare the dynamic response of the third-stage gear pair in both modes with the other conditions held constant. As can be seen in Figure 23, the meshing force of the third gear pair oscillates at a greater amplitude under impact load conditions in the dual-motor drive mode.

The cause of this phenomenon in Figure 23 may be the synchronization error of the speed of the two motors, which leads to the deterioration of the torsional vibration of the gear system. The expression of the synchronization error of the output speed of the two motors is as follows [25]:

$$E=\frac{\left({\omega }_1-{\omega }_{mean}\right)}{{\omega }_{mean}}\times 100\%,{\omega }_{mean}=\frac{{\omega }_1+K_e{\omega }_2}{2}$$

(16)

where ${\omega }_1$ and ${\omega }_2$ denote the output speeds of motors 1 and 2, respectively, and K_e denotes the ratio factor of the speed of the two motors.

To verify the conjecture that the speed synchronization error will lead to the deterioration of the torsional vibration of the gear system under impact conditions, the speed synchronization error of the two motors is changed by varying the speed loop parameter of the proportional integral (PI) controller in the motor controller to make the motor speed fluctuate to different degrees according to the method of [26], as shown in Figure 24. Different combinations of the PI controller parameters are set as follows: case 1: P = 0.1, I = 80; case 2: P = 0.5, I = 80; case 3: P = 1, I = 80.

The load of DEDS changes abruptly from 1155 Nm to 2310 Nm in 1.5 s. Figure 25b shows the relationship between motor 1’s speed and the speed synchronization error under different PI parameters. After changing the speed ring parameters of motor 1, the speed of motor 1 fluctuates to different degrees, and the synchronization error increases with the increase in the fluctuation amplitude of motor 1’s speed. The synchronization error under case 3 is the largest, and the synchronization error under case 1 is the smallest.

From Figure 26 it can be seen that the oscillation amplitude of the meshing force of the first gear pair increases with the increase in synchronization error after a sudden change in the external load of the system at 1.5 s. The above results indicate that the synchronization error aggravates the gear system’s torsional vibration in the dual-motor drive mode under impact conditions, and the torsional vibration of the gear system caused by the change in external load can be suppressed by reducing the synchronization error.

To further analyze the effect of impact loads on the gear transmission system under different synchronization errors, the performance index of the absolute value of the error integral was used [27], i.e., the area enclosed by the actual dynamic meshing force curve due to the impact load and the vertical coordinate was obtained by integration. It was found that impact energy decreases with the decreasing area.

$$S={\displaystyle {\int }_{t_1}^{t_2}\left|F\left(t\right)-F^{\prime }\left(t\right)\right|}dt$$

(17)

where S denotes impact energy; F(t) denotes the actual value of meshing force; and $F^{\prime }\left(t\right)$ denotes the meshing force of the steady-state target value.

The statistical results of the impact energy generated by the first gear pair due to the impact load under different synchronization errors are given in

Table 8. Calculation results of the impact energy of the transmission system with different PI parameters.

PI Parameter Combinations	$\mathbf{Impact}\mathbf{Energy}(\times$$102^{}\mathbf{N}\mathbf{·}\mathbf{s})$
Case 1 Case 2 Case 3	8.4432 6.0279 4.8503

and Figure 27; the impact energy of the gear pair under impact load increases with the increase in the synchronization error.

5. Conclusions

In this study, a torque-coupled DEDS of an HEV was taken as the research object. Considering the time-varying mesh stiffness of gears and the nonlinear characteristics of inverters, a model of the electromechanical coupling dynamics of the DEDS, including the PMSM and the gear transmission system, is established, and on this basis, the dynamic characteristics of the electromechanical coupling system in the single-motor drive mode and dual-motor drive mode were simulated and analyzed under steady-state and impact conditions. The main conclusions are as follows:

Under steady-state conditions, the motor stator’s current spectrum contains abundant gear meshing frequency information, present in the following format |a f_e1 ± b f_mg| (a,b = 1, 2, …); the stator current can be used as the monitoring signal of the steady-state healthy operation of the gear transmission system. The fluctuations of the electromagnetic torque and the dynamic meshing force of the gear pair are primarily excited by the meshing frequency of the gear pair at each level, and the harmonic frequency generated by the nonlinearity of the inverter; the electromagnetic torque spectrum of one motor in the dual-motor drive mode contains the harmonic components of the other motor, and the dynamic meshing force of the gear pair contains harmonic components of both motors in the frequency domain. There is an obvious electromechanical coupling effect between the electrical system and gear system of the DEDS. There is also a significant coupling effect between the two motors in the dual-motor drive mode.

The impact load causes the instantaneous torsional vibration of the transmission system dominated by the first-order natural frequency, and the vibration characteristic frequency appears in the form of the side frequency |f_e1 ± f_N1| in the stator current’s signal. This indicates that the stator current has a feedback effect on the torsional vibration of the system caused by the change in the external load; appropriate damping of the motor shaft and reducing its stiffness will reduce the torsional vibration of the gear system caused by impact load. The different torsional amplitude values of the gearing system can be reflected in the motor stator current’s frequency signal. Moreover, compared with the single-motor drive mode, the speed synchronization error of the dual-motor drive mode will aggravate the torsional vibration amplitude of the gear system under impact conditions. The impact energy caused by an external impact load on the gear system can be suppressed by reducing the speed synchronization error with appropriate control measures.