Abstract: To address the problem of poor handling stability and comfort of a pure electric vehicle, the dynamic simulation parameter matching analysis method was used to effectively support real vehicle matching, which achieved significant results. Firstly, the vertical stiffness of the front and rear suspensions was matched and analyzed to optimize the body pitch response due to vertical vibrations at different bias frequencies. To optimize the coordination of front and rear suspension roll motion, the roll stiffness of the front and rear suspension was optimized and matched, with the goal of consistency in the compression rate of the lateral acceleration relative to the travel of the front and rear suspension when turning to the outer side, which was based on multi-body dynamics simulation of vehicle steady-state turning conditions of vehicles. Secondly, dynamic simulation research was carried out on the effects of roll, lateral force, and return torque steering on the whole vehicle understeer, and an optimization approach for the whole vehicle understeer degree based on hard point layout and bush matching was proposed, providing effective improvement ideas and solutions for actual vehicle tuning. Finally, the real vehicle matching verified the effectiveness of the optimized scheme. The results show that after optimization, the balance between front and rear suspension vertical jump and roll motion is better, the steady-state control characteristics are significantly improved, and the subjective evaluation score exceeds the target by 0.5 points, resulting in a 10% improvement in handling performance. The proposed scheme has been applied to mass-produced vehicle types, providing a reference case for developing vehicle handling stability performance.