Abstract
An optimal energy management strategy is proposed to match engine fuel consumption and battery SOH of REEB. Models of APU fuel consumption and battery SOH loss are established and multi-objective performance function is provided. DP algorithm is adopted to solve the optimization problem. Under the conditions of different drive cycles, different SOH penalty coefficients are analyzed to reveal its effects. Considering the total life-cycle costs, simulations prove that when battery is not to be replaced, and the capacity configuration and SOH penalty coefficient of battery are both taken the minimum, the best economical results can be achieved.
| Original language | English |
|---|---|
| Pages (from-to) | 814-820 |
| Number of pages | 7 |
| Journal | Energy Procedia |
| Volume | 88 |
| DOIs | |
| Publication status | Published - 1 Jun 2016 |
| Event | Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China Duration: 15 Nov 2015 → 17 Nov 2015 |
Keywords
- Dynamic programming
- Energy management
- Multi-objective optimization
- Range-extended electric vehicle
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