电动汽车再生制动过程制动踏板位移与制动意图及制动强度之间的关系

Relationship among Braking Pedal Displacement,Braking Intensity and Braking Strength in Regenerative Braking Process of Electric Vehicle

电动汽车可以通过再生制动提高动力电池的能量利用效率并延长续航里程;而电动汽车的再生制动效率依赖于其制动力的分配策略。在不同制动强度下,电动汽车再生制动过程制动力的分配比例应该不同,需要根据驾驶员踩踏制动踏板的位移进行制动意图和制动强度的识别。基于制动踏板位移对应的电压和电压变化率,设计了个模糊逻辑控制器,分别进行驾驶员制动意图和制动强度的识别。将驾驶员的制动意图分为缓慢制动、中等制动和紧急制动三种状态;并对三种状态下的制动强度变化进行准确的识别。搭建了由制动踏板、dSPACE半实物仿真平台和Control Desk调试界面组成的测试系统。对设计的模糊逻辑控制器进行了实验测试。测试结果显示,制动踏板位移对应的电压和电压变化率可以反映驾驶员的制动意图和制动强度,通过设计的模糊逻辑控制器可以识别出驾驶员的制动意图和对应的制动强度变化。因此,本系统可以用于电动汽车再生制动过程中进行制动强度的识别和基于制动强度的制动力分配,提高电动汽车的能量利用效率。

The energy efficiency of power bateries and driving mileage of electric vehicles can be improved by regenerative braking,and the regenerative braking efficiency depends on the distribution strategy of the braking force.The proportion of the regenerative braking force of the electric vehicle should be diffeking strength,and the braking intention and the braking strength should be identified according to the displacement of the brake pedal.Two fuzzy logic controllers are designed to identify the driver’s braking intention and braking strength respectively based on the related voltage and voltage change rate to the brak king intention of the driver is divided into slow braking,medium brake and emergency brakking strengtli change in the three states is accurately identified. With the brake pedal,dSPACE semi-physical simulation platform and ControlDesl debugging interface,a test system was set up to verify the The test results show that the driver’s braking intent and braking strength can be reflected by the voltage and voltage rate of change related to the brake pedal displacement.And the driver’s braking intent and the corresponding braking strength change can be identified by the designed fuzzy logic controllers. Therefore,the system can ba used in the regenerative braking process of electric vehicles to identify the braking strength and distribute the braking force based on the braking strength to improve the energy efficiency of electric vehicles.