Energy management technologies for electric vehicles often rely on manual design and simulations, limiting real-world application. Here, authors introduce a data-driven offline reinforcement learning framework that optimizes energy consumption and system degradation using historical data, achieving improved performance and adaptability.
- Yong Wang
- Jingda Wu
- Fengchun Sun
