结合优化和模拟,为下一代越野车辆提供E/E架构设计
Cristian Bianchi1,2, Rosario Merlino2, Roberto Passerone1
1Department of Information Engineering and Computer Science (DISI), University of Trento, 38123 Trento, Italy.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
设计下一代越野车的电电子架构是通过自动化的方法来简化. 这种方法优化了系统的高级功能,如高级驾驶辅助系统 (ADAS) 和自动驾驶.
科学领域:
- 汽车工程 汽车工程
- 电气和电子系统 电气和电子系统
- 系统设计 系统设计
背景情况:
- 越野车面临着将高级驾驶辅助系统 (ADAS) 和自动驾驶集成在一起的独特挑战.
- 当前的电电子 (E/E) 架构在数据需求方面扎,需要区域架构和驱动式技术.
- 过渡到新的通信标准对于未来的车辆功能至关重要.
研究的目的:
- 提出设计下一代越野车E/E架构的自动化方法.
- 解决当前E/E架构在支持先进车辆功能方面的局限性.
- 优化E / E架构以提高性能,效率和成本.
主要方法:
- 使用基于MILP的优化器来识别潜在的E/E架构解决方案.
- 采用离散事件模拟来验证拟议架构的可行性.
- 应用了基于上升的梯度方法来改进对汇聚的优化器约束.
主要成果:
- 评估基于延迟,动和网络负载的架构解决方案.
- 进行了帕雷托分析,考虑了功耗,成本和系统重量.
- 证明了自动化方法在生成优化的E/E架构中的有效性.
结论:
- 提出的自动化方法有效地设计下一代越野车E/E架构.
- 该方法平衡了绩效指标与经济和物理约束.
- 这种方法为未来的汽车E/E系统开发提供了坚实的框架.
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