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Driving force coordinated control of an 8×8 in-wheel motor drive vehicle with tire-road friction coefficient identification

Zheng Zhang, Chunguang Liu, Xiaojun Ma, Yun-yin Zhang, Luming Chen

2020Defence Technology18 citationsDOIOpen Access PDF

Abstract

Because of the complexities of tire-road interaction, the wheels of a multi-wheel distributed electric drive vehicle can easily slip under certain working conditions. As wheel slip affects the dynamic performance and stability of the vehicle, it is crucial to control it and coordinate the driving force. With this aim, this paper presents a driving force coordination control strategy with road identification for eight-wheeled electric vehicles equipped with an in-wheel motor for each wheel. In the proposed control strategy, the road identification module estimates tire-road forces using an unscented Kalman filter algorithm and recognizes the road adhesion coefficient by employing the recursive least-square method. According to road identification, the optimal slip ratio under the current driving condition is obtained, and a controller based on sliding mode control with a conditional integrator uses this value for acceleration slip regulation. The anti-slip controller obtains the adjusting torque, which is integrated with the driver-command-based feedforward control torque to implement driving force coordination control. The results of hardware-in-loop simulation show that this control strategy can accurately estimate tire-road forces as well as the friction coefficient, and thus, can effectively fulfill the purpose of driving force coordinated control under different driving conditions.

Topics & Concepts

Control theory (sociology)Feed forwardTorqueSlip (aerodynamics)Tire balanceSlip angleElectronic differentialSlip ratioAutomotive engineeringEngineeringController (irrigation)Kalman filterVehicle dynamicsComputer scienceControl engineeringSteering wheelControl (management)BrakeAerospace engineeringAgronomyPhysicsThermodynamicsArtificial intelligenceBiologyVehicle Dynamics and Control SystemsSoil Mechanics and Vehicle DynamicsReal-time simulation and control systems
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