Traction control and antilock braking control performance analysis in distributed drive electric vehicle on split ramps

The drivability of split ramps is an essential dynamic performance of electric vehicles (EVs). Nevertheless, the existing traction control system (TCS) demands additional braking assistance for optimal driving control. This work proposes a novel TCS for distributed drive electric vehicles (DDEV) to improve traction and reduce energy demand. This work presents a slope-seeking traction force allocation approach assisted by an anti-lock braking system (ABS) for practical driving on the uphill and downhill split ramp surface. A genetic algorithm is used to determine the optimum values of the traction force at various road-grade angles. Simulated results demonstrate the efficacy of the proposed TCS in driving and braking conditions. The proposed TCS has the potential to improve the pass ability, reduce the power requirement, and reduce the system complexity and cost.