An Improved Energy Optimization Control Strategy for Electric Vehicle Drive System

被引：3

作者：

Li, Ke ^{[1
]}

Zhang, Chenghui ^{[1
]}

Cui, Naxin ^{[1
]}

机构：

[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

Electric Vehicle(EV); Induction Motor; Energy Optimization; Regenerative Brake;

D O I：

10.1109/CCDC.2008.4597722

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electric vehicles must extremely improve its electric drive system efficiency and effectively using its limited energy. In this paper, an improved energy optimization control strategy for electric vehicle drive system is proposed based on the typical drive cycle operation characteristics analysis. An efficiency optimization strategy based on loss model is used to reduce the operation losses of electric drive system at light load, and a fast torque response control algorithm is given to reduce the influence of electric vehicle dynamic response speed caused by efficiency optimization operation. An efficient braking force distribution strategy is proposed then, which assigns the braking force to the regenerative braking as much as possible under the condition that the vehicle possesses good stability during braking process. The comparative simulation results in advanced vehicle simulator (ADVISOR) software show that there is obvious improvement in the energy usage and the electric vehicles travel distance is lengthened, which confirms the validity of the improved energy optimization control strategy proposed in this paper.

引用

页码：2244 / 2249

页数：6

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