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 language | English |
|---|---|
| Pages (from-to) | 2152 - 2163 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Smart Grid |
| Volume | 14 |
| Issue number | 3 |
| Early online date | 27 Sept 2022 |
| DOIs | |
| Publication status | Published - 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
- General Computer Science