Study on Battery Charging Strategy of Electric Vehicles Considering Battery Capacity

• Published in: IEEE access Vol. 9; pp. 89757 - 89767
• Main Authors: Jeon, Seoung Uk, Park, Jung-Wook, Kang, Byung-Kwan, Lee, Hee-Jin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Batteries; Battery charger; Battery chargers; Chemicals; coulombic efficiency; Discharges (electric); electric vehicle; Electric vehicle charging; Electric vehicles; Energy costs; Energy dissipation; energy storage; Estimation; fast charging; Integrated circuit modeling; Resistance; State of charge; usable energy loss
• DOI: 10.1109/ACCESS.2021.3090763
• EISSN: 2169-3536

This paper proposes an improved fast charging strategy for electric vehicles (EVs) by considering available battery capacity. According to previous research and battery experiment reports, the energy capacity of batteries is not fixed, and it can decrease temporarily depending on the magnitude of charging or discharging power. This paper addresses the decreased capacity in proportion to the magnitude of the charging power which leads to a reduction in the driving range. For effective and practical use for EV users, the change in battery capacity is expressed through an equation, and a new state of charged indicator is proposed. To improve the conventional charging method that uniformly supplies power regardless of the battery capacity, this paper proposes an optimal charging strategy injecting constant power. The proposed charging strategy provides an optimal charging power reference to minimize costs considering charged energy, charging time, and usable energy loss based on billing system of EV charging. To verify the effectiveness of the proposed charging method, the optimal charging power reference for each battery is calculated based on capacity and characteristics, and the total cost is compared. The results show that the performance of the proposed charging strategy is effective in minimizing both the reduced battery capacity and economic burden on EV users.