Abstract
Combining storages with different characteristics can improve the performance and lifetime of electric vehicles. For example, a supercapacitor and a battery together can handle large power transfers from acceleration and regenerative braking while protecting the battery from degradation. In this paper, we use approximate dynamic programming to design a policy for power sharing between dual storage devices. We write the dynamic program as a linear program and use basis functions to approximate the optimal value function. Numerical results show that the resulting suboptimal policy can approximate the optimal policy with low error given a sufficient number of basis functions.
Original language | English (US) |
---|---|
Pages (from-to) | 23-30 |
Number of pages | 8 |
Journal | CIGRE Science and Engineering |
Volume | 18 |
Issue number | June |
State | Published - Jun 2020 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
Keywords
- Approximate dynamic programming
- Batteries
- Electric vehicles
- Supercapacitors