混合动力汽车回馈制动与防抱死制动协调鲁棒控制  

Coordinated Robust Control of Regenerative Braking and Anti-lock Braking for a Hybrid Electric Vehicle

作　　者：金贤建[1] 殷国栋[1,2] 陈南[1] 王金湘[1] 

机构地区：[1]东南大学机械工程学院,南京211189 [2]重庆大学,机械传动国家重点实验室,重庆400044

出　　处：《汽车工程》2015年第9期1011-1016,共6页Automotive Engineering

基　　金：国家自然科学基金(51105074,51375086,51205058);机械传动国家重点实验室开放基金(SKLMT-KFKT-201206);东南大学优秀博士学位论文基金(6BJJ1429)资助

摘　　要：提出了一种并联式混合动力汽车防抱死制动系统(ABS)和能量回馈制动的协调控制策略。针对防抱死制动系统的强非线性和时变特征,设计了基于滑移率切换面的ABS滑模变结构控制器。为削弱传统滑模控制中的颤振和补偿模型的不确定性,采用指数趋近率方法来改善滑模运动段的动态品质和鲁棒性;能量回馈制动系统中,电池SOC、电机转速和制动强度等动态参数的影响较大,因此,采用T-S模糊逻辑控制策略动态调节电机制动转矩来提高制动能量的回收率。在Matlab/Simulink环境中建立整车制动系统模型,对所提出的协调控制策略在紧急制动和NEDC工况下进行仿真。结果表明:该策略在保证车辆制动稳定性的同时,能有效地提高制动能量的回收率,且具有较强的鲁棒性。A coordinated control strategy for a parallel hybrid electric vehicle equipped with antilock braking system （ABS） and regenerative braking system is proposed, and a sliding-mode variable structure controller for ABS based on slip rate switching surface is designed. For reducing the chattering in traditional sliding mode control and compensating the uncertainty of model, exponential approach law is adopted to improve the dynamic quality and robustness of sliding mode motion. The dynamic parameters like battery SOC, motor speed and braking intensity all have rather significant influences in energy regenerative braking system, so T-S fuzzy logic control strategy is used to dynamically adjust the braking torque of motor for improving the recovery rate of braking energy. A model for vehicle brake system is built with Matlab/Simulink and a simulation on coordinated control strategy is conducted with both emergency baking condition and NEDC driving cycle. The results show that the strategy proposed can effectively enhance the recovery rate of braking energy with strong robustness while ensuring the braking stability of vehicle.

关 键 词：混合动力汽车 回馈制动 防抱死制动 滑模变结构控制 T-S模糊控制 

分 类 号：U463.5[机械工程—车辆工程]