再生制动在不同路面等级电气化动力系统速度轨迹优化中的作用

N. Prakash, Youngki Kim, Denise M. Rizzo, Matthew J. Brusstar, Jason B. Siegel
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引用次数: 2

摘要

通过速度轨迹优化和再生制动来实现生态驾驶,都可以降低电动汽车的能量需求。然而,由于电机/发电机的总往返效率,生态驾驶可以节省比再生制动所能回收的更多的能量。在约束条件允许的情况下,最优速度轨迹总是避免制动。本文研究了各种电动地面车辆在不同道路等级上的能量最优速度分布,其中自动驾驶车辆可以调整其速度轨迹。从动态规划中获得的最佳速度轨迹,与相同行驶距离和时间的恒定巡航操作相比,显着降低了电机的总能量需求。优化的速度轨迹,从而增加车辆的范围,而不改变电池大小或行程时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Regenerative Braking in Velocity Trajectory Optimization of Electrified Powertrains over varying Road Grades
Eco-driving via velocity trajectory optimization and regenerative braking can both reduce the energy demand of an electric vehicle (EV). However, eco-driving can save more energy than can be recovered via regenerative braking due to the total roundtrip efficiency of the motor/generator. The optimal velocity trajectory would always avoid braking if the constraints allow. This paper investigates energy optimal velocity profiles for various electric ground vehicles over varying road grades, where the autonomous vehicles can adjust their velocity trajectory. The optimal velocity trajectories, numerically obtained from Dynamic Programming, significantly reduce the total energy demand by the motor compared to a constant cruising operation for the same travel distance and time. The optimized velocity trajectories, thus increase vehicle range without a change in battery size or trip time.
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