Research on Battery Aging and User Revenue of Electric Vehicles in Vehicle-to-Grid (V2G) Scenarios
With the development of vehicle-to-grid (V2G) technology, electric vehicles (EVs) are increasingly participating in grid interactions. However, V2G-induced energy consumption and battery aging intensify range anxiety among users, reduce participation willingness, and decrease discharge capacity and revenue due to capacity loss. In this study, aging models for power batteries in electric passenger vehicles and electric trucks are established. A time-of-use electricity price model and an economic model considering battery aging costs are constructed. Two scenarios were established for daily use and V2G operation. The impacts of different scenarios and charging/discharging patterns on battery life and user profit are analyzed. The results indicate that the additional V2G discharging process increases the cyclic aging rate of EV batteries. Within the studied parameter ranges, the cyclic aging rate increased by 5.89% for electric passenger vehicles and 3.72% for electric trucks, respectively. Additionally, the initial V2G revenue may struggle to cover early-stage battery aging costs, but the subsequent slowdown in degradation may eventually offset these costs. With appropriate charging and discharging strategies, the maximum revenue per year reaches 18,200 CNY for electric trucks and 5600 CNY for electric passenger vehicles. This study may provide theoretical support for optimizing EV charging/discharging strategies and formulating policies in V2G scenarios.
Authors
- Zhiyu Zhao (ORCID: https://orcid.org/0000-0001-9758-5073)
- Lei Chen (ORCID: https://orcid.org/0000-0002-4778-4688)
- Ling Hao (ORCID: https://orcid.org/0009-0009-7921-5533)
- Fei Xu (ORCID: https://orcid.org/0000-0002-8613-2826)
- Xuemei Li (ORCID: https://orcid.org/0000-0002-3255-7888)
- Shuaihao Kong
- Bo Bo
Institutions
- State Grid Corporation of China (China) (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Electronics
- Published
- 2025-11-21
- DOI
- https://doi.org/10.3390/electronics14234567
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Electric Power Research Institute