Design of Smart Battery Management System 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: closed (31 December 2022) | Viewed by 2483
Special Issue Editor
Interests: system modeling; states estimation; optimization; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The design of battery management systems has become a hot topic in research due to its numerous applications, e.g., in electric vehicles and portable electronics. Battery management systems should be efficient, reliable, accurate, and cost-effective. They must also be capable of estimating battery states, such as state of charge, state of life, state of health, state of power, etc., while accurately predicting the remaining useful life of a battery with sufficient notice so as to avoid degraded performance, operational impairment, or total failure. These demands represent many different research challenges faced in battery management system design, and the basic aim of this Special Issue is to provide the platform to share the latest findings on this subject (either research or review articles).
Potential topics of interest include but are not limited to the following:
- Battery modeling to estimate the online state of charge, state of heath, and state of function;
- Optimal battery charging strategy;
- Remaining useful life prediction;
- Application of machine learning in battery management system;
- Battery aging and degradation;
- Hybrid energy storage systems, such as battery and supercapacitor
Dr. Muhammad Umair Ali
Guest Editor
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