Eco-driving Profile Optimization by Dynamic Programming for Battery Electric Vehicles

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-07-01 DOI:10.1007/s12239-024-00105-8

Dohyun Park, Woong Lee, Jongryeol Jeong, Dominik Karbowski, Namwook Kim

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引用次数: 0

Abstract

Although full automation has not yet been achieved, automated vehicles are a valid research area. Not only would automated vehicles provide ultimate driver convenience, but they would maximize energy efficiency by eliminating undesired human driving behaviors and optimally controlling the powertrain. From the perspective of control related to energy saving, speed profile optimization is important for improving system efficiency and satisfying passenger demands. This study employs Dynamic Programming (DP) to solve the constrained optimal problem for travel time, distance, and speed limit by exploring all possible control options. The solutions obtained by DP demonstrate consistent control patterns combining four control modes—acceleration, cruising, coasting, and braking, with cruising or coasting being selective depending on the boundary conditions. This study introduces DP-based simulation results and attempts to provide comprehensive interpretations of the optimal policy by analyzing the essential factors that affect the control problem, including boundary conditions, road load, and powertrain characteristics. Based on these interpretations, the control concepts can be explained as the optimal policy selecting the best control option based on system efficiency and boundary conditions. The results of DP are compared with a human-like driver model to show that the optimal speed profiles can effectively reduce energy consumption.

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通过动态编程优化电池电动汽车的生态驾驶模式

虽然全自动驾驶尚未实现，但自动驾驶汽车是一个有效的研究领域。自动驾驶汽车不仅能为驾驶员提供最大的便利，还能通过消除人类不希望出现的驾驶行为和优化动力总成控制，最大限度地提高能源效率。从与节能相关的控制角度来看，速度曲线优化对于提高系统效率和满足乘客需求非常重要。本研究采用动态程序设计法（DP），通过探索所有可能的控制方案，解决行驶时间、距离和限速的约束优化问题。通过 DP 得到的解决方案展示了结合四种控制模式（加速、巡航、滑行和制动）的一致控制模式，其中巡航或滑行取决于边界条件。本研究介绍了基于 DP 的仿真结果，并试图通过分析影响控制问题的基本因素，包括边界条件、道路负载和动力总成特性，对最优策略进行全面解读。基于这些解释，控制概念可以解释为基于系统效率和边界条件选择最佳控制方案的最优策略。将 DP 的结果与类人驾驶员模型进行比较，结果表明最佳速度曲线能有效降低能耗。

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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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.