Study on MPC-based Energy Management for a Series Tracked Vehicle

被引：0
|
作者：
Wei, Chao [1 ]
Wu, Xitao [1 ]
Liu, Sicheng [1 ]
机构：
[1] Beijing Inst Techonl, Natl Key Lab Vehicular Transmiss, Beijing, Peoples R China
来源：
2019 IEEE 28TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2019年
关键词：
series hybrid vehicle; power distribution; dynamic programming; model predictive control; HYBRID ELECTRIC VEHICLES; POWER MANAGEMENT; CONTROL STRATEGY; MODEL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To improve the energy usage ratio of a series tracked vehicle, energy management control strategy based on model predictive control (MPC) was proposed. A nonlinear prediction model is established, and the cost function based on the equivalent fuel consumption model of the battery is used as the evaluation index, the dynamic programming (DP) algorithm is used to implement the rolling optimization solution in the prediction time domain which complete the real-time power allocation. Compared with rule-based control strategy, MPC can achieve a 4.1% better economy performance and more balanced state of charge (SOC).
引用
收藏
页码：1898 / 1902
页数：5
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