Regenerative braking was the process of converting the kinetic energy and potential energy, which were stored in the vehicle body when vehicle braked or went downhill, into electrical energy and storing it into batter...Regenerative braking was the process of converting the kinetic energy and potential energy, which were stored in the vehicle body when vehicle braked or went downhill, into electrical energy and storing it into battery. The problem on how to distribute braking forces of front wheel and rear wheel for electric vehicles with four-wheel drive was more complex than that for electric vehicles with front-wheel drive or rear-wheel drive. In this work, the frictional braking forces distribution curve of front wheel and rear wheel is determined by optimizing the braking force distribution curve of hydraulic proportional-adjustable valve, and then the safety brake range is obtained correspondingly. A new braking force distribution strategy based on regenerative braking strength continuity is proposed to solve the braking force distribution problem for electric vehicles with four-wheel drive. Highway fuel economy test(HWFET) driving condition is used to provide the speed signals, the braking force equations of front wheel and rear wheel are expressed with linear equations. The feasibility, effectiveness, and practicality of the new braking force distribution strategy based on regenerative braking strength continuity are verified by regenerative braking strength simulation curve and braking force distribution simulation curves of front wheel and rear wheel. The proposed strategy is simple in structure, easy to be implemented and worthy being spread.展开更多
横摆稳定性是分布式驱动电动汽车(Distributed Drive Electric Vehicle,DDEV)稳定性研究中的重要难题.为解决DDEV横摆稳定性结构复杂、强耦合等问题,基于DDEV轮毂电机的独立可控性,本文提出一种基于多目标并行混沌优化的DDEV横摆稳定性...横摆稳定性是分布式驱动电动汽车(Distributed Drive Electric Vehicle,DDEV)稳定性研究中的重要难题.为解决DDEV横摆稳定性结构复杂、强耦合等问题,基于DDEV轮毂电机的独立可控性,本文提出一种基于多目标并行混沌优化的DDEV横摆稳定性控制系统.该控制系统由2个部分组成;上层控制器利用多目标优化策略,通过多目标并行混沌优化算法来计算DDEV维持横摆稳定所需的理想横摆角速度和期望滑移率;下层控制器为执行单元,根据上层控制器输出的最优期望变量,采用2个模糊控制器分别修正主动前轮转向角和分配驱/制动转矩,改善DDEV横摆稳定性.模型构建和仿真过程在Matlab/Simulink平台上完成,结果表明:该控制系统优化协调主动前轮转向角和驱/制动转矩,保证了DDEV横摆稳定性.展开更多
基金Project(JS-102)supported by the National Key Science and Technological Program of China for Electric VehiclesProject supported by Jilin University "985 Project" Engineering Bionic Technology Innovation Platform,China
文摘Regenerative braking was the process of converting the kinetic energy and potential energy, which were stored in the vehicle body when vehicle braked or went downhill, into electrical energy and storing it into battery. The problem on how to distribute braking forces of front wheel and rear wheel for electric vehicles with four-wheel drive was more complex than that for electric vehicles with front-wheel drive or rear-wheel drive. In this work, the frictional braking forces distribution curve of front wheel and rear wheel is determined by optimizing the braking force distribution curve of hydraulic proportional-adjustable valve, and then the safety brake range is obtained correspondingly. A new braking force distribution strategy based on regenerative braking strength continuity is proposed to solve the braking force distribution problem for electric vehicles with four-wheel drive. Highway fuel economy test(HWFET) driving condition is used to provide the speed signals, the braking force equations of front wheel and rear wheel are expressed with linear equations. The feasibility, effectiveness, and practicality of the new braking force distribution strategy based on regenerative braking strength continuity are verified by regenerative braking strength simulation curve and braking force distribution simulation curves of front wheel and rear wheel. The proposed strategy is simple in structure, easy to be implemented and worthy being spread.
文摘横摆稳定性是分布式驱动电动汽车(Distributed Drive Electric Vehicle,DDEV)稳定性研究中的重要难题.为解决DDEV横摆稳定性结构复杂、强耦合等问题,基于DDEV轮毂电机的独立可控性,本文提出一种基于多目标并行混沌优化的DDEV横摆稳定性控制系统.该控制系统由2个部分组成;上层控制器利用多目标优化策略,通过多目标并行混沌优化算法来计算DDEV维持横摆稳定所需的理想横摆角速度和期望滑移率;下层控制器为执行单元,根据上层控制器输出的最优期望变量,采用2个模糊控制器分别修正主动前轮转向角和分配驱/制动转矩,改善DDEV横摆稳定性.模型构建和仿真过程在Matlab/Simulink平台上完成,结果表明:该控制系统优化协调主动前轮转向角和驱/制动转矩,保证了DDEV横摆稳定性.
