Vehicle trajectory optimization for hybrid vehicles taking into account battery state-of-charge

F. Mensing, R. Trigui, E. Bideaux
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引用次数: 23

Abstract

Hybrid vehicles are found to be one solution to reduce fuel consumption in the transportation sector. Eco-driving is a concept that is immediately applicable by drivers to improve the efficiency of their vehicle. In this work the potential of eco-driving for hybrid drive train vehicles is discussed. The operation of hybrid vehicles is strongly dependent on their energy management and therefore on battery state-of-charge. Here, the velocity trajectory will be optimized taking into account battery state-of-charge. The vehicle and its control strategy will be modeled to simulate its operation. Given constraints on distance, velocity and time the optimal velocity trajectory is computed using the dynamic programming method in a non-standard approach. The optimal operation of the vehicle is compared to standard driving with respect to fuel consumption and battery state-of-charge. The algorithm is applicable to any hybrid vehicle architecture and will be illustrated on the Toyota Prius II vehicle.
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考虑电池电量状态的混合动力汽车轨迹优化
混合动力汽车被认为是减少交通部门燃料消耗的一种解决方案。生态驾驶是一个概念,司机可以立即应用,以提高车辆的效率。本文讨论了混合动力传动系车辆生态驾驶的潜力。混合动力汽车的运行在很大程度上依赖于它们的能量管理,因此也依赖于电池的充电状态。在这里,速度轨迹将根据电池的充电状态进行优化。将对车辆及其控制策略进行建模以模拟其运行。在给定距离、速度和时间约束的情况下,采用非标准的动态规划方法计算最优速度轨迹。将车辆的最佳操作与标准驾驶进行比较,考虑燃油消耗和电池充电状态。该算法适用于任何混合动力汽车架构,并将在丰田普锐斯II车辆上进行说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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