摘要

Based on the theory of multi-body system dynamics, the front McPherson suspension of a car is modeled with the dynamics software of mechanical systems, and the structure of the suspension is optimized with genetic algorithm in a multi-objective/multi-parameter optimization environment, which results in an optimal layout of the suspension hardpoints under the engineering constraint conditions for improving the suspension performance. Test results of the optimized suspension on a test rig show that the optimization is correct, and that the proposed multi-objective/multi-parameter optimization method is effective in improving the suspension performance of a vehicle.

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