Traction Control for an All-Wheel-Drive Electric Vehicle with Estimation of Speed and Friction Condition
Date Issued
2010
Date
2010
Author(s)
Hsu, Ying-Wei
Abstract
This paper describes a Traction Control System (TCS) for an All-Wheel-Drive (AWD) electric vehicle. When a vehicle passes slippery road surface, the AWD system can appropriately regulate torque output of each wheel. Therefore, the AWD car has better maneuverability and stability. The torque regulation methods are based on the TCS, which control slip ratio of wheels. In the past, many slip ratio control methods have been proposed for gasoline engine vehicle.
Comparing to gasoline engine vehicles, the TCS can be more effective on electric vehicles. The power source of electric vehicle is motor, whose torque response is more precise than gasoline engine system. Therefore, the real-time friction force between tire and road can be derived. Therefore, the TCS determines optimal slip ratio with the friction force estimation.
Another key technology is speed estimator. Absolute vehicle speed is essential to calculate slip ratio, but it is difficult to get the speed on AWD vehicles. Considering cost and reliability, this study uses a accelerometer to obtain dynamic information. Furthermore, adaptive filter and multi sensor data fusion are added in order to improve the estimation accuracy.
Comparing to gasoline engine vehicles, the TCS can be more effective on electric vehicles. The power source of electric vehicle is motor, whose torque response is more precise than gasoline engine system. Therefore, the real-time friction force between tire and road can be derived. Therefore, the TCS determines optimal slip ratio with the friction force estimation.
Another key technology is speed estimator. Absolute vehicle speed is essential to calculate slip ratio, but it is difficult to get the speed on AWD vehicles. Considering cost and reliability, this study uses a accelerometer to obtain dynamic information. Furthermore, adaptive filter and multi sensor data fusion are added in order to improve the estimation accuracy.
Subjects
electric vehicle
all-wheel-drive
traction control
speed estimation
multi sensor data fusion
fuzzy control
Type
thesis
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