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New Trends in Energy Storage Systems for HEVs and EVs
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New Trends in Energy Storage Systems for HEVs and EVs

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: 10 September 2024 | Viewed by 3116

Special Issue Editors

Prof. Dr. Dunnan Liu

E-Mail Website
Guest Editor
School of Economics and Management, North China Electric Power University, Beijing, China
Interests: power markets; EVs and their integration with smart grid; virtual power plant optimization
Dr. Heping Jia

E-Mail Website
Guest Editor
School of Economics and Management, North China Electric Power University, Beijing, China
Interests: power markets; demand-side management; virtual power plants; battery-powered vehicles; decision diagrams; electric vehicles; energy storage
Dr. Shuo Wang

E-Mail Website
Guest Editor
National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China
Interests: intelligent charging for EVs; battery safety management; big data for EV Applications

Special Issue Information

Dear Colleagues,

Energy storage manufacturing capacity is growing fast with the number of global HEVs and EVs increasing—for example, lithium-ion batteries, lead-acid batteries, etc. The development of HEVs and EVs has been changing many industries, such as energy, transportation, and the environment. This has contributed to electric drive system technologies, intelligent charging technologies, charging and discharging regulation technologies, comprehensive utilization technologies, big data applications of energy storage systems for HEVs and EVs, etc. Furthermore, the integration of HEVs and EVs with smart grid plays an important role in the accommodation of renewable energies.

This Special Issue aims to present and disseminate the most recent advances related to the modeling, application, operation, and control of energy storage systems for HEVs and EVs.

Topics of interest for publication include but are not limited to:

  • Electric drive system technologies;
  • Intelligent charging technologies;
  • Economic analysis of energy storage systems;
  • Charging and discharging regulation methods;
  • Comprehensive utilization strategies of energy storage systems;
  • Intelligent fault diagnosis technology for HEVs and EVs;
  • Aggregation and optimization of HEVs and EVs;
  • Optimization planning methods for EV charging facilities;
  • EV integration with renewable energies;
  • Big data for EV applications;

Prof. Dr. Dunnan Liu
Dr. Heping Jia
Dr. Shuo Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • EVs
  • HEVs
  • energy storage systems
  • intelligent charging
  • aggregation and optimization
  • big data

Published Papers (3 papers)

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Research

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36 pages, 3603 KiB  
Article
The Novel Approach of Using Electric Vehicles as a Resource to Mitigate the Negative Effects of Power Rationing on Non-Residential Buildings
by Krzysztof Zagrajek, Mariusz Kłos, Desire D. Rasolomampionona, Mirosław Lewandowski and Karol Pawlak
Energies 2024, 17(1), 18; https://doi.org/10.3390/en17010018 - 19 Dec 2023
Cited by 1 | Viewed by 830
Abstract
This paper presents the concept of using electric vehicles (EVs) as a countermeasure to deal with the negative effects of power rationing when electricity demands become difficult to meet due to unfavorable electrical system operating conditions. At present, an energy storage is widely [...] Read more.
This paper presents the concept of using electric vehicles (EVs) as a countermeasure to deal with the negative effects of power rationing when electricity demands become difficult to meet due to unfavorable electrical system operating conditions. At present, an energy storage is widely used to maintain the stability of electricity supply in facilities whose main source of energy is renewable energy sources (RESs). However, we must not forget that electric vehicles are also electricity storage facilities, but they are not always available due to their mobility. With properly developed strategies, they can be used in electricity management processes, for example, by reducing their consumption during charging using smart charging technology, or by providing electricity from their batteries using vehicle-to-building (V2B) technology. Thus, this article presents a research methodology that treats electric vehicles as a remedy for eliminating power constraints. It consists of five main steps, including two algorithms for deciding how to deploy EVs during power rationing periods. An efficiency factor for eliminating these constraints was also introduced. The results showed that the use of smart charging or V2B technology in EVs can reduce the number of potential hours in which certain power levels are exceeded by up to several tens of percent. This means that in the future, with the significant development of electromobility, such a way of dealing with power constraints could be an alternative to conventional solutions like diesel generators. Full article
(This article belongs to the Special Issue New Trends in Energy Storage Systems for HEVs and EVs)
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17 pages, 3876 KiB  
Article
A Two-Stage Scheduling Strategy for Electric Vehicles Based on Model Predictive Control
by Wen Wang, Jiaqi Chen, Yi Pan, Ye Yang and Junjie Hu
Energies 2023, 16(23), 7737; https://doi.org/10.3390/en16237737 - 23 Nov 2023
Viewed by 649
Abstract
In recent years, with the rapid growth in the number of electric vehicles (EVs), the large-scale grid connection of EVs has had a profound impact on the power grid. As a flexible energy storage resource, EVs can participate in auxiliary services of the [...] Read more.
In recent years, with the rapid growth in the number of electric vehicles (EVs), the large-scale grid connection of EVs has had a profound impact on the power grid. As a flexible energy storage resource, EVs can participate in auxiliary services of the power grid via vehicle-to-grid (V2G) technology. Due to the uncertainty of EVs accessing the grid, it is difficult to accurately control their charging and charging behaviors at both the day-ahead and real-time stages. Aiming at this problem, this paper proposes a two-stage scheduling strategy framework for EVs. In the presented framework, according to historical driving data, a day-ahead scheduling model based on distributionally robust optimization (DRO) is first established to determine the total power plan. In the real-time scheduling stage, a real-time scheduling model based on model predictive control (MPC) is established to track the day-ahead power plan. It can reduce the impact of EVs’ uncertainties. This strategy can ensure the charging demand of users is under the control of the charging and discharging behaviors of EVs, which can improve the accuracy of controlling EVs. The case study shows that the scheduling strategy can achieve accurate and fast control of charging and discharging. At the same time, it can effectively contribute to the security and stability of grid operations. Full article
(This article belongs to the Special Issue New Trends in Energy Storage Systems for HEVs and EVs)
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Review

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18 pages, 2070 KiB  
Review
Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation
by Heping Jia, Qianxin Ma, Yun Li, Mingguang Liu and Dunnan Liu
Energies 2023, 16(17), 6151; https://doi.org/10.3390/en16176151 - 24 Aug 2023
Viewed by 1079
Abstract
Fossil energy consumption and environmental protection issues have pushed electric vehicles (EVs) to become one of the alternatives to traditional fossil-fuel vehicles. EV refers to a vehicle that uses electric energy as power and is driven by an electric motor. The electric energy [...] Read more.
Fossil energy consumption and environmental protection issues have pushed electric vehicles (EVs) to become one of the alternatives to traditional fossil-fuel vehicles. EV refers to a vehicle that uses electric energy as power and is driven by an electric motor. The electric energy of EVs is stored in batteries. When the EV is not traveling, the battery can provide power for other loads. Therefore, with the increase in the number of EVs and the load of the power grid, the EV-to-grid (V2G) mode, which uses EVs to supply power to the power grid, has gradually entered the field of vision of researchers. The physical connection mode, charge and discharge technology, and energy management strategy are the main topics of the current review papers; however, there is a lack of systematic research on V2G modeling, framework, and business models. This paper describes the concepts of the spatio-temporal distribution model and the adjustable capacity of EVs. In addition, common constraints and methods in optimization are introduced. Moreover, this paper introduces the interactive relationship among power grids, load aggregators, and EV users. Furthermore, the business model of V2G is introduced and analyzed from various perspectives. Finally, the future development of V2G is pointed out. This paper’s goal is to provide an overview of the present V2G application scenarios and to identify any challenges that must be overcome. Full article
(This article belongs to the Special Issue New Trends in Energy Storage Systems for HEVs and EVs)
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