期刊
JOURNAL OF POWER SOURCES
卷 438, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jpowsour.2019.227024
关键词
Hybrid energy storage system; Energy management strategy; Load-adaptive; Rule based control; Optimal analysis
资金
- National Natural Science Foundation of China [61803359]
Energy management is crucial in battery/ultracapacitor hybrid energy storage systems in electric vehicles. Rule based control is one typical strategy in real-time management, but its adaptability in dynamic load is quite poor. This paper aims to develop a practical energy management strategy with near-optimal performance in both energy-saving and battery life extending. Firstly, dynamic programming (DP) analysis is used to find out the optimal control mode. Three-segment control rules are then extracted from the DP results. A functional relationship is established between the power splitting parameters and load statistics. Finally, a load-adaptive rule based control strategy is proposed based on that. Two composite load cycles are tested for verification. Results show that compared with the ordinary rule based control strategy, the proposed strategy has the stronger capability of battery protecting and energy-saving under unknown load patterns, where the battery Ah throughput and total energy loss are reduced by 3.4%-15.7% and 3.0%-15.1%, respectively. The results are quite close to DP results, showing that the proposed strategy can achieve near-optimal energy management in real time with low computational cost.
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