Stability control of electric vehicles with in-wheel motors by considering tire slip energy

Bin, Zhao; Xu, Nan; Chen, Hong; Guo, Konghui; Huang, Yanjun

doi:10.1016/j.ymssp.2018.08.037

Cited by 78 publications

(26 citation statements)

References 19 publications

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“…In the electric drive system, the motor can be used to realize the mutual conversion of electric energy and mechanical energy. The motor consists of rotor and stator [13].…”

Section: Methods Details 21 Motor and Its Control Technologymentioning

confidence: 99%

Adaptive Fusion Control Method for Power Motor Working Condition of New Energy Vehicle

2020

IJOMAM

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“…In the electric drive system, the motor can be used to realize the mutual conversion of electric energy and mechanical energy. The motor consists of rotor and stator [13].…”

Section: Methods Details 21 Motor and Its Control Technologymentioning

confidence: 99%

Adaptive Fusion Control Method for Power Motor Working Condition of New Energy Vehicle

2020

IJOMAM

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“…1–4 Four in-wheel-motor independent-drive electric vehicles (4MIDEVs) installed with four driving motors in the inner spaces of the four respective wheels have the prominent advantages of short driving chain, high efficiency, compactness, and maneuverability. 5,6 Autonomous vehicles could avail themselves of decoupled controllable actuation and fast and accurate torque response to vehicles, thanks to four wheels independently driven by four respective in-wheel motors; thereby, autonomous four in-wheel-motor independent-drive vehicles (AMIDVs) are attributed as a promising and effective approach for autonomous ground vehicles (AGVs) to make full use of road adhesion, enhance active safety, and decrease maneuverability costs on the basis of realizing the goal of path tracking. 7,8…”

Section: Introductionmentioning

confidence: 99%

Path tracking coordinated control strategy for autonomous four in-wheel-motor independent-drive vehicles with consideration of lateral stability

Chen

Peng

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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How to enhance and ensure the vehicle yaw/lateral stability and safety performance is a crucial and worthy research problem for the autonomous four in-wheel-motor independent-drive vehicle. In this paper, a hierarchical path tracking control strategy coordinated with the direct yaw moment control for autonomous four in-wheel-motor independent-drive vehicle is proposed with consideration of the lateral stability. In the upper controller, a novel model predictive control method based on the vehicle 7-degree-of-freedom dynamic model is presented to obtain the front wheel steering angle and two virtual generalized forces, the traction and yaw moment. A dynamic adjustment method of target weight based on variance adjustment factor is proposed to realize multi-objective cooperative control of maneuverability, path tracking accuracy, and yaw stability. Moreover, the tire stability margin and its standard deviation are put forward in the objective function of the lower optimal generalized force distributor, making full use of the road adhesion of each wheel. Carsim–Simulink joint simulation results illustrate that the proposed coordinated control strategy could prosper the multi-objective coordinated control. In addition, the path tracking coordinated control strategy could further improve the lateral stability and safety of the vehicle compared with the mere path tracking control strategy, when autonomous four in-wheel-motor independent-drive vehicle is placed under extremely dangerous road conditions.

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“…Currently, electric vehicles have become a popular research topic worldwide [1][2][3]. Appropriate design of electric vehicle parameters is important for promoting worldwide energy reduction and environmental protection actions.…”

Section: Introductionmentioning

confidence: 99%

Parameter closed-loop optimization for pure electric vehicles: unified design of power system and control parameters

Zhang

Yang

Zhou³

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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To solve the problem of unreasonable vehicle parameters caused by unknown curb mass and open-loop power system and control strategy optimization in the development of pure electric vehicles, this paper presents a parameter closed-loop optimization algorithm (COA) via unified design of system and control parameters. First, a mass closed-loop algorithm (MCA) was adopted to optimize the parameters of power systems under an unknown curb mass and its convergence was proven. Next, with energy consumption being the index function, the torque distributions of the front and rear motors were optimized by dynamic programming (DP). Additionally, vehicle power system and control strategy parameter optimization were realized by combining the MCA, DP, and genetic algorithm. Finally, two comparative optimization algorithms which are the assumed curb mass optimization algorithm (AOA) and the torque equal ratio distribution optimization algorithm (TOA) were implemented to validate the proposed algorithm. The simulation results under China light-duty vehicle test cycle-passenger car (CLTC-P) and New European Driving Cycle (NEDC) operating conditions indicate that the proposed algorithm achieves minimum energy consumption compared with the competing optimization algorithms. The energy consumption resulting from the COA is reduced by 18.98% and 6.36%, compared with those of the TOA and AOA, respectively, under CLTC-P conditions. The energy consumption of the COA is 16.57% and 6.91% lower than those of the TOA and AOA, respectively, under NEDC conditions. This algorithm can optimize the curb mass, peak powers of the motors, mass of the motors, battery energy, battery mass, and torque distribution coefficient simultaneously, and can be applied to different operating conditions.

show abstract

Stability control of electric vehicles with in-wheel motors by considering tire slip energy

Cited by 78 publications

References 19 publications

Adaptive Fusion Control Method for Power Motor Working Condition of New Energy Vehicle

Adaptive Fusion Control Method for Power Motor Working Condition of New Energy Vehicle

Path tracking coordinated control strategy for autonomous four in-wheel-motor independent-drive vehicles with consideration of lateral stability

Parameter closed-loop optimization for pure electric vehicles: unified design of power system and control parameters

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