State Estimation and Efficient Charging Strategies for Lithium-Ion Batteries in Electric Vehicles
A special issue of World Electric Vehicle Journal (ISSN 2032-6653).
Deadline for manuscript submissions: 15 August 2025 | Viewed by 163
Special Issue Editors
Interests: lithium compounds; secondary cells; frequency control; power engineering computing; power grids; battery management systems
Special Issues, Collections and Topics in MDPI journals
Interests: battery management systems; battery state estimation; fast charging control; battery impedance measurement
Special Issues, Collections and Topics in MDPI journals
Interests: energy storage optimal configuration and control technology; power grids; battery management systems; data mining; distributed power generation; power apparatus; power distribution reliability
Special Issues, Collections and Topics in MDPI journals
Interests: lithium-ion battery energy storage and applications; electric vehicle power conversion technology; transportation and energy integration technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Electric vehicles have achieved rapid development and popularity in the passenger car market due to their superior driving performance and green environmental characteristics. Lithium-ion battery packs are the power core of electric vehicles, though the degradation mechanism of lithium-ion batteries is complex, making it difficult to estimate the state of health and safety of such batteries. Improper charging and discharging control can easily lead to safety issues with such batteries. Conducting research on state estimation and charging and discharging optimization strategies for batteries is vital for enhancing the competitiveness and safety of new energy vehicles.
This Special Issue will provide an outlet for novel and original research on all aspects of prognostics and health management of lithium-ion batteries for electric vehicles, as well as electric vehicle charging circuit topology and electric vehicle charging strategy optimization, including experiments, characterization, mechanisms, modeling, algorithms, systems, etc.
Dr. Jichang Peng
Dr. Jinhao Meng
Prof. Dr. Haitao Liu
Dr. Xinrong Huang
Guest Editors
Manuscript Submission Information
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Keywords
- electric vehicle
- state of health estimation
- prognostics and health management
- lithium-ion batteries
- lifetime test and analysis
- aging mechanism
- thermal management
- electro-thermal coupling model
- big data
- empirical degradation model
- fast charging optimizationearly failure warning
- V2G
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