Smart Battery Energy Management for Electric Vehicles
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 10 October 2025 | Viewed by 33
Special Issue Editor
Interests: electric and hybrid vehicles; energy management; battery and energy optimisation/management in HEV; autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The transition to electric vehicles (EVs) is a key step toward sustainable transportation, reducing dependence on fossil fuels, and minimizing greenhouse gas emissions. However, the efficiency, reliability, and longevity of EVs depend significantly on smart battery energy management. Advances in battery technologies, real-time monitoring, and intelligent control strategies are crucial to optimizing energy use, extending battery life, and enhancing vehicle performance.
This Special Issue aims to present and disseminate recent advances in smart battery energy management for electric vehicles, covering aspects such as energy optimization, fault diagnosis, control strategies, and predictive maintenance. By addressing challenges in battery modeling, state estimation, and thermal management, it seeks to foster the development of more efficient and resilient energy management solutions.
Topics of interest for publication include, but are not limited to, the following:
- Advanced battery modeling and state estimation techniques;
- Machine learning and AI-driven energy management strategies;
- Battery thermal management and cooling strategies;
- State of charge (SoC) and state of health (SoH) estimation;
- Fault diagnosis and fault-tolerant energy management;
- Smart charging infrastructure and vehicle-to-grid (V2G) interactions;
- Predictive maintenance and lifecycle optimization;
- Integration of renewable energy sources with EV batteries.
We invite researchers and industry experts to contribute to this Special Issue by sharing their latest findings and innovations in the field of smart battery energy management for electric vehicles.
Prof. Dr. El Hassane Aglzim
Guest Editor
Manuscript Submission Information
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Keywords
- battery energy management
- electric and hybrid vehicles (EVs)
- state of charge (SoC) estimation
- state of health (SoH) estimation
- battery thermal management
- fault diagnosis and fault tolerance
- machine learning in battery management
- artificial intelligence for energy optimization
- smart charging strategies
- vehicle-to-grid (V2G) integration
- predictive maintenance
- battery lifecycle optimization
- renewable energy integration
- power electronics for battery management
- advanced battery modeling
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