Aging Mitigation for Battery Energy Storage System in Electric Vehicles

Shuangqi Li, Pengfei Zhao, Chenghong Gu, Jianwei Li, Da Huo, Shuang Cheng

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)
70 Downloads (Pure)

Abstract

Battery energy storage systems (BESS) have been extensively investigated to improve the efficiency, economy, and stability of modern power systems and electric vehicles (EVs). However, it is still challenging to widely deploy BESS in commercial and industrial applications due to the concerns of battery aging. This paper proposes an integrated battery life loss modeling and anti-aging energy management (IBLEM) method for improving the total economy of BESS in EVs. The quantification of BESS aging cost is realized by a multifactorial battery life loss quantification model established by capturing aging characteristics from cell acceleration aging tests.Meanwhile, a charging event analysis method is proposed to deploy the built life loss model in vehicle BESS management. Two BESS active anti-aging vehicle energy management models: vehicle to grid (V2G) scheduling and plug-in hybrid electric vehicle (PHEV) power distribution, are further designed, where the battery life loss quantification model is used to generate the aging cost feedback signals. The performance of the developed method is validated on a V2G peak-shaving simulation system and a hybrid electric vehicle. The work in this paper presents a practical solution to quantify and mitigate battery aging costs by optimizing energy management strategies and thus can further promote transportation electrification.

Original languageEnglish
Pages (from-to)2152 - 2163
Number of pages12
JournalIEEE Transactions on Smart Grid
Volume14
Issue number3
Early online date27 Sept 2022
DOIs
Publication statusPublished - 31 May 2023

Keywords

  • Aging
  • Batteries
  • battery aging assessment
  • battery aging mitigation
  • Battery energy storage system
  • Costs
  • electric vehicle
  • Energy management
  • energy management
  • Mathematical models
  • US Department of Defense
  • vehicle power distribution
  • vehicle to grid
  • Vehicle-to-grid

ASJC Scopus subject areas

  • Computer Science(all)

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