Enhanced ABS for In-Wheel Electric Vehicles using data fusion

Wheel speed sensor is commonly used in conventional Antilock Braking Systems (ABS) to measure the wheel rotational speed. This paper proposes a novel architecture for In-Wheel Electric Vehicles (EVs) based on data fusion concept that provides improved accuracy, reliability, redundancy and fault-tolerance for the wheel speed measurement system of the ABS. The proposed method was extensively evaluated using actual ABS hardware. The experimental results showed that the accuracy of the wheel speed estimation based on the proposed data fusion were improved by up to 46 percent in comparison with a commercial ABS sensor. The proposed approach has the potential to substantially improve the performance of the ABS for In-Wheel EVs.