Research on control strategy of handling stability for formula SAE (FSAE) pure electric racing car

ABSTRACT

This paper studies the control strategy of handling stability using an FSAE distributed drive pure electric racing car and the direct yaw moment control. The proportional integral derivative (PID) controller, fuzzy logic controller, and the PID and fuzzy logic joint controller of the additional yaw moment decision models are also designed. Under the double lane change condition, the designed control strategies are simulated and compared. The results show that compared with no control and PID control alone, the proposed PID and fuzzy logic joint control strategy can significantly reduce the steady-state value and the extreme value of the yaw rate by 43.87% at most, and those of the side slip angle by 68.53% at most. The convergence rates of the two have increased, improving the handling stability of the vehicle.

KEYWORDS:

• FSAE pure electric racing car
• handling stability
• direct yaw moment control
• PID control
• fuzzy logic control
• control strategy

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Natural Science Foundation of China [NO.51507013]; China Postdoctoral Science Foundation [2018T111006, 2017M613034]; Shaanxi Province Industrial Innovation Chain Project [2018ZDCXL-GY-05-03-01]; Shaanxi Provincial Key Research and Development Plan Project [2018ZDXM-GY-082]; Shaanxi Innovative Talents Promotion Plan - Youth Science and Technology Star Project [2018KJXX-005];

Notes on contributors

Man Yu

Man YU, female, born in Xi’an, Shaanxi, 1988. Ph.D. Main research fields are electric vehicle and control technology.