利用连接性和自动化实现车辆动力学和动力系统操作的并行Optimization
Concurrent Optimization of Vehicle Dynamics and Powertrain Operation Using Connectivity and Automation
摘要：
互联和自动驾驶汽车（CAV）为减少能源消耗和旅行延误提供了最有趣的机会。在本文中，我们提出了一个两级控制架构的CAV优化（1）车辆的速度曲线，旨在最大限度地减少走走停停的驾驶，（2）的动力系统效率的车辆的最佳速度曲线（1）。所提出的递阶控制框架可以以最小的计算工作量实时地在车辆上实现。我们通过在Mcity中使用CAV的100%渗透率的模拟来评估所提出的架构的效率的有效性。结果表明，所提出的方法在能源效率方面产生了显着的好处。
英文摘要：
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control architecture for CAVs to optimize (1) the vehicle's speed profile, aimed at minimizing stop-and-go driving, and (2) the powertrain efficiency of the vehicle for the optimal speed profile derived in (1). The proposed hierarchical control framework can be implemented onboard the vehicle in real time with minimal computational effort. We evaluate the effectiveness of the efficiency of the proposed architecture through simulation in Mcity using a 100% penetration rate of CAVs. The results show that the proposed approach yields significant benefits in terms of energy efficiency.
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