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The optimized lightweight design of automotive seats has increasingly attracted the interest of researchers. A multi-objective optimization design was conducted for the rear seat of a passenger car. First, a finite element model of the rear seat luggage compartment collision was constructed and verified through physical tests. Then, the optimized Latin hypercube experimental design was combined with a multi-criteria decision-making method to conduct the multi-objective optimization of the rear seat. The optimized rear seat demonstrated slight performance improvements, along with reductions in cost and mass by 11.13% and 21.39%, respectively.

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Multi-Objective Optimization Design of Rear Seat of a Passenger Car Based on Multi-Criteria Decision-Making Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Hengliang Jiang,
  • Xuan Zhou,
  • Jiangqi Long

摘要

The optimized lightweight design of automotive seats has increasingly attracted the interest of researchers. A multi-objective optimization design was conducted for the rear seat of a passenger car. First, a finite element model of the rear seat luggage compartment collision was constructed and verified through physical tests. Then, the optimized Latin hypercube experimental design was combined with a multi-criteria decision-making method to conduct the multi-objective optimization of the rear seat. The optimized rear seat demonstrated slight performance improvements, along with reductions in cost and mass by 11.13% and 21.39%, respectively.