再生制动器
发动机制动
控制理论(社会学)
工程类
制动器
控制工程
电子制动力分配系统
汽车工程
鲁棒控制
扭矩
控制器(灌溉)
非线性系统
液压制动器
执行机构
非线性控制
缓速器
车辆动力学
电动汽车
控制系统
计算机科学
控制(管理)
量子力学
生物
农学
物理
功率(物理)
热力学
人工智能
电气工程
作者
Stefan Lupberger,Wolfgang Degel,Dirk Odenthal,Naim Bajçinca
标识
DOI:10.1109/tcst.2021.3109340
摘要
The use of regenerative braking and recent electrohydraulic or electromechanical brake-by-wire systems with enhanced dynamics enables improved antilock braking control performance in electric vehicles. However, the possible benefit is often limited by suboptimal control architectures with separate distributed controllers for electric motor (EM) and friction brake torque requests. Furthermore, oversimplifications in synthesis models for brake control design constrain the achievable performance. Instead, to date, threshold-based algorithms are widely used in modern production vehicles despite having been designed for slower hydraulic brake systems originally. To exploit the full potential, this work proposes a continuous nonlinear control design using input–output linearization for robust wheel speed tracking control. The design uses a unified controller for the redundant actuators. In addition, it explicitly considers drivetrain oscillations induced by regenerative braking using onboard EMs in the synthesis model. The stability for the resulting zero dynamics is shown through the Lyapunov analysis. The nonlinear controller is augmented by a subsequent control allocation for splitting the control effort on the redundant actuators. The allocation design ensures consistent control performance for both regenerative braking and hybrid braking while simultaneously aiming for high-energy recovery. The overall antilock braking control design is implemented in an electric test vehicle. Its tracking performance, disturbance attenuation, and robustness are experimentally validated through various emergency braking maneuvers on different road surfaces.
科研通智能强力驱动
Strongly Powered by AbleSci AI