基于载荷率的电动公交车再生制动控制策略

中国机械工程

基于载荷率的电动公交车再生制动控制策略

赵国柱;孙琼琼;唐惊幽;李亮

南京农业大学工学院, 南京, 210031

出版日期:2017-10-10 发布日期:2017-10-10
基金资助:
国家自然科学基金资助项目（51005113）；
江苏省农机局科研启动基金资助项目（Gxz10003）
National Natural Science Foundation of China （No. 51005113）

Regenerative Braking Control Strategy Based on Rate of Loading for Electric Buses

ZHAO Guozhu;SUN Qiongqiong;TANG Jingyou;LI Liang

College of Engineering, Nanjing Agriculture University，Nanjing，210031

Online:2017-10-10 Published:2017-10-10
Supported by:
National Natural Science Foundation of China （No. 51005113）

摘要/Abstract

摘要： 为提高城市电动公交车再生制动能量回收效率，针对城市电动公交车日常运输载重变化显著的特点，提出了一种基于不同载荷率的再生制动控制策略。建立了不同载重情况下电动公交车的行车制动系前后轴制动力分配系数优化模型，运用遗传算法求出了空载、半载、满载情况下的最优制动力分配系数，并根据优化后的制动力分配系数对再生制动力进行了控制。为验证控制策略的有效性，在电动汽车仿真软件ADVISOR2002平台上进行了仿真分析。结果表明：与制动力分配系数无调整时相比，该策略在符合欧洲经济委员会（ECE）制动法规的前提下，显著提高了制动能回收量。

关键词: 载荷率, 城市电动公交车, 制动力分配, 再生制动控制

Abstract: To improve the regenerative braking energy recovery efficient of electric city buses, a novel braking force distribution control strategy for electric buses was proposed based on real load in view of the characteristics of electric buses that daily transport load changes significantly. The optimized mathematical model of the braking system was established. Firstly, optimized braking force distribution coefficients under the circumstances of full-load and no load were acquired by adopting the genetic algorithm. Then braking force distributions were controlled based on the optimized braking force distribution coefficients. New control strategy was added in ADVISOR2002 to verify the effectiveness of the control strategy. The simulation results reveal that compared with the primary control strategy where braking force distribution coefficients were invariable, the proposed strategy may improve the recovery of regenerative braking energy significantly on the premise of economic commission of Europe(ECE) braking regulations.

Key words: rate of loading, electric city bus, braking force distribution, regenerative braking control

中图分类号:

U461.3

赵国柱;孙琼琼;唐惊幽;李亮. 基于载荷率的电动公交车再生制动控制策略[J]. 中国机械工程.

ZHAO Guozhu;SUN Qiongqiong;TANG Jingyou;LI Liang. Regenerative Braking Control Strategy Based on Rate of Loading for Electric Buses[J]. China Mechanical Engineering.

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