Parameter optimization of the sill beam section of an electric vehicle under side pole collision condition
The peak section force(Fmax)of battery modules of an electric vehicle exceeded the safety range under side pole collision condition.The parameter optimization of the sill beam section was carried out to improve battery collision safety and achieve weight reduction of the vehicle body.26 thicknesses or position parameters were selected as optimization variables to reduce Fmax and the mass of sill beam.The maximum compression deformation(dmax)and plastic strain(εpmax)of battery modules were chosen as constrains.Firstly,the optimal Latin hypercube method was employed to generate samples.A fully connected neural network was established as approximation model based on samples,and the non-dominated sorting genetic algorithms-Ⅱ(NSGA-Ⅱ)was employed for multi-objective optimization.Finally,optimization results were verified through simulation.The results show that the Fmax of battery modules is decreased from 21.8 kN to less than 20 kN,indicating safety requirement is eventually satisfied.Meanwhile,the mass of sill beam is reduced by 1.41%～4.02%,which means lightweight design is also achieved.Further analysis shows that dmax and εpmax of battery modules are also reduced synchronously in some solutions,which improves battery collision safety comprehensively in the meantime of weight reduction.
side pole collisionbattery safetyapproximation modellightweightfinite element simulation
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