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首页> 外文期刊>International Journal of Automotive Technology >Power Management Strategy for the 48 V Mild Hybrid Electric Vehicle Based on the Charge-Sustaining Control
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Power Management Strategy for the 48 V Mild Hybrid Electric Vehicle Based on the Charge-Sustaining Control

机译:基于电荷维持控制的48 V温和混合电动车的电源管理策略

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摘要

To enhance the 48 V mild hybrid electric vehicle performance using a smaller capacity and lower voltage battery than the full hybrid electric vehicle, a novel power management strategy needs to be established that considers the characteristics and limitations of the components. This paper proposes a charge-sustaining control strategy as a ground principle of the 48 V hybrid electric vehicle control for managing the battery state-of-charge (SOC) to stay near the most efficient regime. The base efficiency characteristics of the component models including engine, motor/generator, and battery are determined in the form of efficiency maps using the powertrain analysis tool. Then the control strategy is formulated as a nonlinear optimal regulation problem that meets two conflicting control objectives, such as fuel efficiency improvement and state-of-charge maintenance. The optimal regulation problem implements a discrete-time Hamilton-Jacobi-Bellman approach. The proposed strategy is evaluated by comparing with the reference strategy applying the Dynamic Programming (DP), i.e. a global optimal result, under urban dynamometer driving schedule and worldwide harmonized light duty test cycle. Through the evaluation, the fuel efficiency of the proposed strategy with three different electrical loads is slightly deteriorated at most by 5.03 % from the DP results with staying within a desirable SOC. This suggests that the proposed strategy is operating very closely to global optimal performances.
机译:为了增强48V温和的混合动力汽车性能,使用比全混合动力电动汽车更小的容量和更低的电压电压,需要建立一种小说的电源管理策略,以考虑组件的特性和限制。本文提出了一个充电维持控制策略作为48 V混合电动车辆控制的地原理,用于管理电池充电(SOC)以保持在最有效的方案附近。包括发动机,电动机/发电机和电池包括发动机,电动机/发电机和电池的组件模型的基本效率特性以效率图的形式使用动力系分析工具确定。然后,控制策略被制定为非线性最佳调节问题,符合两个相互矛盾的控制目标,例如燃料效率提高和充电的维护。最佳调节问题实现了一个离散时间的汉密尔顿 - jacobi-bellman方法。通过与应用动态规划(DP)的参考策略进行比较来评估所提出的策略,即在城市测力计驾驶计划和全球统一的轻型测试周期下的全球最优结果。通过评估,具有三种不同电负载的提出策略的燃料效率最多略微劣化,并且从DP导致停留在所需的SoC中,最多可劣化5.03%。这表明拟议的策略正在与全球最佳性能密切合作。

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