在智能车辆中对行人头部伤害进行分层预测的方法,该智能车辆配备了综合主动和被动安全系统
Liangliang Shi1, Honghao Zhang1,2, Lintao Wu3
1State Key Laboratory of Vehicle NVH and Safety Technology, China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122, China.
Biomimetics (Basel, Switzerland)
|March 27, 2024
概括
智能汽车安全系统,结合外部安全气囊和制动控制,显著降低行人头部伤害的风险. 一个新的层次设计策略可以快速预测头部伤害标准 (HIC),以改善行人保护.
科学领域:
- 道路安全工程工程 道路安全工程
- 智能运输系统 智能运输系统
- 生物力学 生物力学
背景情况:
- 智能汽车技术已经减少了事故,但对行人头部伤害的预测仍然是一个挑战.
- 现有的研究不足以解决车辆碰撞中的行人头部保护问题.
研究的目的:
- 评估用于行人头部保护的综合主动和被动安全系统.
- 分析智能汽车外部安全气囊,制动系统和行人头部伤害标准 (HIC) 之间的相互作用.
主要方法:
- 构建了一个"车辆-行人"交互系统,并使用真实碰撞数据进行验证.
- 为组合主动和被动系统开发了一个数据库,以分析参数影响.
- 为了快速预测HIC,建立了一个层次设计策略和配合方程.
主要成果:
- 外部安全气囊有效地防止了与车辆结构的头部碰撞,减少了HIC.
- 制动参数H2显示与头部损伤有显著的相关性.
- 当H2<1.8时,HIC在近90%的病例中为<1000.
结论:
- 组合的主动和被动系统可以增强行人头部保护.
- 提出的层次设计和HIC预测方法为系统选择和参数设计提供了理论基础.
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