MPC-based Slip Control System for In-wheel-motor Drive EV

Li, Shaosong; Guo, Luping; Zhang, Bangcheng; Lu, Xiaohui; Cui, Gaojian; Dou, Jinglei

doi:10.1016/j.ifacol.2018.10.140

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…The control process that is based on the system dynamic model to find the optimal solution of the optimization problem in a finite prediction time domain and utilizes the rolling optimization to complete the optimization of the whole control process, which is defined as model predictive control (MPC) [23,24].…”

Section: Overview Of Nmpcmentioning

confidence: 99%

Research on Cooperative Braking Control Algorithm Based on Nonlinear Model Prediction

Liang

Cheng

Zhao

et al. 2021

WEVJ

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To address the coordinated distribution of motor braking and friction braking for the regenerative braking system, a cooperative braking algorithm based on nonlinear model predictive control (NMPC) is proposed, with braking energy recovery power, tire slip rate, and motor torque variation as the optimization objectives, and online optimization of the coordinated distribution of motor braking and friction braking. Using the offline model built in Matlab/Simulink, the cooperative braking algorithm is tested for energy efficiency and braking safety. The results show that when based on World Light Vehicle Test Cycle (WLTC), the energy recovery rate can reach 30.4%, and with a single high braking intensity, the braking safety can still be ensured.

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Section: Overview Of Nmpcmentioning

confidence: 99%

Research on Cooperative Braking Control Algorithm Based on Nonlinear Model Prediction

Liang

Cheng

Zhao

et al. 2021

WEVJ

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“…The EV with four in-wheel motors draws a substantial amount of research attention due to its relatively simple powertrain connections [40], [41] and actuator redundancy [40]. The braking torque and mode of each wheel can be controlled independently, which will cause the increase of the signal exchange requirement in control systems.…”

Section: Introductionmentioning

confidence: 99%

Two-Time-Scale Braking Controller Design With Sliding Mode for Electric Vehicles Over CAN

Zhu

et al. 2019

IEEE Access

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This paper proposed a braking torque controller via two-time-scale design with a sliding mode for electric vehicles with four in-wheel motors. According to the different changing rates between the vehicle and wheel motion during the braking process, the design of the braking controller is carried out in two steps. In the first step, a nominal braking controller is developed over the slow-time scale without considering the tire-road friction. Then, a tire-road friction observer is adopted in the fast-time scale to recover the performance of the nominal braking controller. Owning to the high nonlinearity and complexity of the braking system, a sliding mode surface is further added in the nominal braking controller to ensure the stability and robustness of the proposed braking controller. A braking supervisor is adopted to enable the proposed braking controller, which is based on the wheel slip as well as vehicle speed condition. And a torque allocation scheme is presented for the coordination between the regenerative braking system and the friction braking system in each wheel. Co-simulation is conducted using MATLAB/Simulink and CarSim. The effectiveness of proposed controller under different braking conditions is fully validated. A delicate controller area network (CAN) bus model is developed via SimEvent, by which the robust performance of proposed braking controller against CAN-induced time-varying delays is also investigated.INDEX TERMS Braking control, two-time-scale design, sliding mode, CAN-induced delays, electric vehicle.

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Integral Sliding Mode Control for Antiskid Braking System of Unmanned Aerial Vehicles Based on Extended State Observer

Xie¹,

Jia²,

Ding³

2023

Lecture Notes in Electrical Engineering

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MPC-based Slip Control System for In-wheel-motor Drive EV

Cited by 6 publications

References 16 publications

Research on Cooperative Braking Control Algorithm Based on Nonlinear Model Prediction

Research on Cooperative Braking Control Algorithm Based on Nonlinear Model Prediction

Two-Time-Scale Braking Controller Design With Sliding Mode for Electric Vehicles Over CAN

Integral Sliding Mode Control for Antiskid Braking System of Unmanned Aerial Vehicles Based on Extended State Observer

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