Control Research for Hybrid Compound Braking Based on an Uncertainty Predictive Model

被引：0

作者：

Liu, Wei ^{[1
]}

He, Hongwen ^{[1
]}

Guo, Hongqiang ^{[1
]}

Sun, Fengchun ^{[1
]}

机构：

[1] Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China

来源：

2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014 | 2014年

关键词：

composite braking; uncertainty predictive model; braking stability; regenerative efficiency; REGENERATIVE BRAKING; ELECTRIC VEHICLE; CONTROL STRATEGY;

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：

For an EV with double driving motors, an uncertainty predictive model was proposed for the hybrid compound braking control system, which has the simple structural characteristics as the parallel system and the controlling advantages as the series system. The distribution coefficients of the braking force were optimized off-line by uncertainty analysis. Then the response surfaces of the distribution coefficients related to the vehicle state were established. The simulation results show that the required braking severity can be well tracked and high performance and reliability of braking stability and regenerative efficiency were obtained.

引用

页数：6

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