基于自适应滤波的电动汽车电-液复合制动系统防抱死控制

Adaptive filter based antilock braking control of electro-hydraulic system for electric vehicle

逻辑门限值控制方法(Logic threshold control strategy,LTCS)通过门限逻辑实时调整液压制动力矩的大小,往往导致制动系统存在较大的制动力矩波动,不能有效利用电动汽车再生与传统复合制动系统协调工作的优点。针对此问题,提出了基于自适应滤波控制算法的纯电动汽车电机再生制动与液压复合制动防抱死控制方法。避免了纯电动汽车复合制动系统非线性及不同执行器响应特性对制动性能和制动稳定性的影响,改善了电机与液压复合制动系统的协同工作能力,提高了复合制动系统的制动平顺性和再生制动能量回收率。

The Logic Threshold Control Strategy（LTCS）is widely use in traditional Antilock Braking Control（ABC）system.In this LTCS method,the hydraulic braking torque is adjusted by the threshold logic,which is not real time updating.Therefore,the large braking torque fluctuation cannot be ignored,and the advantages of electro-mechanical composite system are under used.To address these problems,an Adaptive Filter Algorithm（AFA）for ABC of the electro-hydraulic system for pure electric vehicles is proposed.To avoid the influences of the nonlinearity of the composite braking system and the different response characteristics of the actuators on the braking performance and stability,the cooperative working of the electrical and mechanical braking system is improved.Using the proposed AFA algorithm,the braking performance,the comfort and the energy recovery ability are improved.