Abstract
In this paper, an integrated torque distribution strategy was developed to improve the stability and efficiency of the vehicle. To improve the stability of the low friction road surface, the vertical and lateral forces of the vehicle were estimated and the estimated forces were used to determine the driving torque limit. A turning stability index comprised of vehicle velocity and desired yaw rate was proposed to examine the driving stability of the vehicle while turning. The proposed index was used to subdivide turning situations and propose a torque distribution strategy, which can minimize deceleration of the vehicle while securing turning stability. The torque distribution strategy for increased driving stability and efficiency was used to create an integrated torque distribution (ITD) strategy. A vehicle stability index based on the slip rate and turning stability index was proposed to determine the overall driving stability of the vehicle, and the proposed index was used as a weight factor that determines the intervention of the control strategy for increased efficiency and driving stability. The simulation and actual vehicle test were carried out to verify the performance of the developed ITD. From these results, it can be verified that the proposed torque distribution strategy helps solve the poor handling performance problems of in-wheel electric vehicles.
Highlights
Eco-friendly vehicles have become a primary research issue due to problems like environmental pollution and energy resources
In order to improve the stability of the low friction road surface, the vertical force and the lateral force of the vehicle were estimated and the limit driving torque was determined using the estimated force
The steering wheel input is largest in vehicles without a torque distribution strategy, and cases applied with AYC and integrated torque distribution (ITD) show similar values
Summary
Eco-friendly vehicles have become a primary research issue due to problems like environmental pollution and energy resources. Existing studies on the in-wheel system were mainly focused on improving linear driving performance, improving driving stability during turns, improving turn performance through torque vectoring, and controlling the slip on low-friction roads and asymmetric roads Such a vehicle dynamic control system has a problem that it influences the driving efficiency badly only considering the stability of the driving [1,2,3,4,5,6,7,8,9,10,11]. Chen proposed a driving force distribution strategy to optimize the efficiency of a motor by predicting geographical conditions using GPS and GIS signal [14,15] Such a control strategy has to be preceded by accurate positioning of vehicles, and it requires a high-precision GPS sensor. A simulation and an actual vehicle test were conducted to verify the proposed algorithm
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