Modeling and simulation of coordinated driving and braking control for fuel cell hybrid electric vehicle

Hang Li, Jianqiu Li, Jiayi Hu, Jingkang Li, Zunyan Hu, Liangfei Xu, M. Ouyang
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Abstract

The fuel cell hybrid electric vehicle (FCHEV) is a new type of vehicle with the advantages of high efficiency and environmental protection. As the government and society pay more and more attention to environmental and energy issues, the development of FCHEV has entered an important stage. The control algorithm of FCHEV is a key technology of new energy vehicles and requires research. This research mainly focuses on the power system modeling and the longitudinal dynamics control and simulation of FCHEV. Based on the tire model, a new slip ratio estimation strategy was proposed. The target drive torque control algorithm and the anti-slip control algorithm adopt the feedforward control and Proportional-integral feedback control. The hydraulic braking force and the regenerative braking force were distributed to ensure that the motor exerts the maximum regenerative braking capability, while the braking force distribution meets the requirements of the ECE braking regulations. On the MATLAB/Simulink software platform, a FCHEV power system model and a coordinated driving and braking control model were established. Through simulations in different working conditions, this paper proved the performance of the new slip ratio estimation algorithm and the feasibility of the dynamics control algorithm.
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燃料电池混合动力汽车驱动与制动协调控制建模与仿真
燃料电池混合动力汽车(FCHEV)是一种具有高效、环保等优点的新型汽车。随着政府和社会对环境和能源问题的日益重视,FCHEV的发展进入了一个重要阶段。混合动力汽车的控制算法是新能源汽车的一项关键技术,需要深入研究。本文主要研究了动力系统建模和混合动力汽车的纵向动力学控制与仿真。在轮胎模型的基础上,提出了一种新的滑移率估计策略。目标驱动转矩控制算法和防滑控制算法采用前馈控制和比例积分反馈控制。对液压制动力和再生制动力进行分配,保证电机发挥最大再生制动能力,制动力分配满足ECE制动法规要求。在MATLAB/Simulink软件平台上,建立了fhev动力系统模型和驱动与制动协调控制模型。通过不同工况下的仿真,验证了滑移率估计算法的性能和动态控制算法的可行性。
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