Study on Battery Charging Strategy of Electric Vehicles Considering Battery Capacity

Seoung Uk Jeon, Jung Wook Park, Byung Kwan Kang, Hee Jin Lee

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number9461200
Pages (from-to)89757-89767
Number of pages11
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Bibliographical note

Funding Information:
This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2016R1D1A3B03934501, and in part by the National Research Foundation of Korea (NRF), Ministry of Science and ICT (MIST), South Korea, under Grant 2020R1A3B2079407.

Publisher Copyright:
© 2013 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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