An Online Data-Driven Model Identification and Adaptive State of Charge Estimation Approach for Lithium-ion-Batteries Using the Lagrange Multiplier Method
Abstract
:1. Introduction
2. Battery Modelling and Parameter Estimation Technique
2.1. Modelling of Battery
2.2. Lagrange Multiplier Method for Online Model Identification
3. Adaptive SOC Estimator Design
3.1. Adaptive OCV Estimator Design
3.2. Adaptive SOC Estimator Design
3.3. Algorithm Estimation Approach
4. Experimental Setup
5. Results and Discussion
5.1. Battery Parameters Identification
5.2. Performance of SOC Estimator of Battery
5.3. Computational Time
5.4. Convergence Rate
5.5. Sensitivity Analysis
6. Conclusions
Author Contributions
Acknowledgments
Conflicts of Interest
References
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Ali, M.U.; Kamran, M.A.; Kumar, P.S.; Himanshu; Nengroo, S.H.; Khan, M.A.; Hussain, A.; Kim, H.-J. An Online Data-Driven Model Identification and Adaptive State of Charge Estimation Approach for Lithium-ion-Batteries Using the Lagrange Multiplier Method. Energies 2018, 11, 2940. https://doi.org/10.3390/en11112940
Ali MU, Kamran MA, Kumar PS, Himanshu, Nengroo SH, Khan MA, Hussain A, Kim H-J. An Online Data-Driven Model Identification and Adaptive State of Charge Estimation Approach for Lithium-ion-Batteries Using the Lagrange Multiplier Method. Energies. 2018; 11(11):2940. https://doi.org/10.3390/en11112940
Chicago/Turabian StyleAli, Muhammad Umair, Muhammad Ahmad Kamran, Pandiyan Sathish Kumar, Himanshu, Sarvar Hussain Nengroo, Muhammad Adil Khan, Altaf Hussain, and Hee-Je Kim. 2018. "An Online Data-Driven Model Identification and Adaptive State of Charge Estimation Approach for Lithium-ion-Batteries Using the Lagrange Multiplier Method" Energies 11, no. 11: 2940. https://doi.org/10.3390/en11112940