1. A Dynamic Programming-Based Control Strategy with Optimum Efficiency of Hybrid Energy Storage System for HEV
- Author
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Long Liu, Niao Na Zhang, Hai Fang Yu, and Bo Xu Bai
- Subjects
Battery (electricity) ,Engineering ,business.product_category ,business.industry ,General Engineering ,Control engineering ,Automotive engineering ,Dynamic programming ,Component (UML) ,Electric vehicle ,Computer data storage ,Fuel efficiency ,Callback ,business ,Driving cycle - Abstract
A reasonable and effective control strategy for HEV (Hybrid Electric Vehicle) with HESS (Hybrid Energy Storage System) can improve the system efficiency and battery service life. A dynamic programming-based global optimal control strategy which fully considered the efficiency of each component in HEV is presented. To compare with the nonlinear proportion factor dynamic coordination strategy, the fuel consumption is not increased. The cycle numbers of battery are further decreased which benefits its cycle life improvement. The regenerative energy callback ratio improves 3% under the shanghai drive cycle as an example. Since this optimization algorithm considers efficiency of each subsystem, the efficiency optimum under the selected driving cycle was realized. It can also provide a reference for the non-linear scaling factor allocation strategies to determine the scale factors.
- Published
- 2015