Distribution Algorithm for Torque Control of New Energy Four-Wheel Hub Motor

Leng, Shuai; Jin, Liqiang

doi:10.1007/s11182-022-02498-4

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…To address this issue, scholars have designed a novel sliding mode controller with an adaptive proportional-integral (PI) sliding surface for more precise control. Similarly, Leng et al [5] proposed a torque control method for a Four-Wheel Drive Electric Vehicle based on an allocation algorithm, and the stability of in-wheel motors were enhanced. The torque distribution strategy of a four-wheel independent-drive electric vehicle with optimal energy consumption proposed by Guo et al [6] pays more attention to saving energy on the basis of improving the vehicle's performance.…”

Section: Introductionmentioning

confidence: 99%

In-Wheel Motor Control System for Four-Wheel Drive Electric Vehicle Based on CR-GWO-PID Control

Xu,

Wang,

Xiao

et al. 2023

Sensors

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In order to improve the driving performance of four-wheel drive electric vehicles and realize precise control of their speed, a Chaotic Random Grey Wolf Optimization-based PID in-wheel motor control algorithm is proposed in this paper. Based on an analysis of the structural principles of electric vehicles, mathematical and simulation models for the whole vehicle are established. In order to improve the control performance of the hub motor, the traditional Grey Wolf Optimization algorithm is improved. In particular, an enhanced population initialization strategy integrating sine and cosine random distribution factors into a Kent chaotic map is proposed, the weight factor of the algorithm is improved using a sine-based non-linear decreasing strategy, and the population position is improved using the random proportional movement strategy. These strategies effectively enhance the global optimization ability, convergence speed, and optimization accuracy of the traditional Grey Wolf Optimization algorithm. On this basis, the CR-GWO-PID control algorithm is established. Then, the software and hardware of an in-wheel motor controller are designed and an in-wheel motor bench test system is built. The simulation and bench test results demonstrate the significantly improved response speed and control accuracy of the proposed in-wheel motor control system.

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Section: Introductionmentioning

confidence: 99%

In-Wheel Motor Control System for Four-Wheel Drive Electric Vehicle Based on CR-GWO-PID Control

Xu,

Wang,

Xiao

et al. 2023

Sensors

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“…At the same time, the feature of four-wheel independent rotation control can also facilitate the implementation of various types of autonomous driving algorithms. In this context, the precise control of motor speed and torque has gradually become a hot spot for research [4]. At this stage, PID control is still the most commonly used closed-loop motor control algorithm.…”

Section: Introductionmentioning

confidence: 99%

Research on the Adaptive PID Speed Control Method for Hub Motors

Zhang

Jia

et al. 2022

Mobile Information Systems

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With the increase in tightening of carbon neutral policies, electric new energy vehicles have become a top priority in the development of the automotive industry. The integrated electric vehicle wheel (hub motor) can effectively optimize the vehicle structure and reduce the weight of the vehicle and reduce the energy consumption. At the same time, the feature that four tires can be driven separately is also conducive to the application of various new control algorithms. In this paper, a generalized adaptive PID control is experimented with the speed control of the hub motor, and a fuzzy control-based variable step method is proposed for the overshoot or even runaway problem caused by the inertia of the hub motor in the process of adaptive PID control. Experiments have demonstrated that this method can effectively reduce the amount of overshoot triggered by adaptive control and shorten the regulation time into a steady state.

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