考虑电池退化的单线路电动公交全生命周期运营规划优化策略

doi:10.16097/j.cnki.1009-6744.2023.03.008

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (3): 66-75.DOI: 10.16097/j.cnki.1009-6744.2023.03.008

• 交通运输业高质量发展策略 • 上一篇下一篇

考虑电池退化的单线路电动公交全生命周期运营规划优化策略

谢东繁^*，罗钰超，周广京，余亚鹏，王永兴，赵小梅

北京交通大学，交通运输学院，北京100044

收稿日期:2023-01-31 修回日期:2023-04-17 接受日期:2023-04-19 出版日期:2023-06-25 发布日期:2023-06-22
作者简介:谢东繁(1983-)，男，河南许昌人，副教授，博士
基金资助:
中央高校基本科研业务费(2023JBMC041);国家自然科学基金 (72288101, 91846202)

Lifecycle Optimization Strategy of Single-line Electric Bus Operational Planning Considering Battery Degradation

XIE Dong-fan^*, LUO Yu-chao, ZHOU Guang-jing, YU Ya-peng, WANG Yong-xing, ZHAO Xiao-mei

School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Received:2023-01-31 Revised:2023-04-17 Accepted:2023-04-19 Online:2023-06-25 Published:2023-06-22
Supported by:
Fundamental Research Funds for the Central Universities (2023JBMC041);National Natural Science Foundation of China (72288101, 91846202)

摘要/Abstract

摘要： 为解决纯电动公交车在全生命周期内因电池容量退化而影响长期运营规划的问题，本文以公交车辆运营成本、能耗成本及电池退化成本最小为目标，构建考虑电池容量退化的纯电动公交全生命周期运营规划优化模型。模型将电动公交车队的整个使用寿命划分为多个周期，考虑电池退化成本的影响，分别优化每个周期的行车计划和配车数量，并得到每个周期内因为电池容量退化而造成的电池更换计划。针对提出的模型设计列生成算法，并选取北京市实际运营的某条公交线路进行算例分析，结果表明，与未考虑电池退化的运营规划相比，考虑电池容量退化后，充电成本和电池退化成本分别降低了6.5%和17.5%。通过影响参数的灵敏度分析，探讨模型参数对成本的影响，能够为电动公交全生命周期内的运营规划提供优化建议。

关键词: 城市交通, 运营规划, 列生成, 电动公交, 电池容量退化, 全生命周期

Abstract: The degradation of battery capacity in the lifecycle of battery electric buses will affect long-term operational planning. To solve this problem, this paper develops an optimization model for the whole life period operational planning of battery electric buses considering battery capacity degradation. The goal is minimizing the operating costs, energy consumption costs, and battery degradation costs of public transport vehicles. The model divides the entire service life of the electric bus fleet into multiple periods. Considering the impact of battery degradation costs, the study optimizes the vehicle scheduling and the number of vehicles of each period separately, and obtains the battery replacement caused by battery capacity degradation in each period. A column generation algorithm is designed to solve the model, and a bus line in Beijing is selected for case study. The results show that the charging cost and battery degradation cost are respectively reduced by 6.5% and 17.5% due to considering battery capacity degradation, compared to the method that are not considering battery degradation. The influence of model parameters on cost is also discussed by sensitivity analysis of influencing parameters, which can provide optimization suggestions for operational planning in the whole life period of electric buses.

Key words: urban traffic, operational planning, column generation, electric bus, battery degradation, full lifecycle

中图分类号:

U121

谢东繁, 罗钰超, 周广京, 余亚鹏, 王永兴, 赵小梅. 考虑电池退化的单线路电动公交全生命周期运营规划优化策略[J]. 交通运输系统工程与信息, 2023, 23(3): 66-75.

XIE Dong-fan, LUO Yu-chao, ZHOU Guang-jing, YU Ya-peng, WANG Yong-xing, ZHAO Xiao-mei. Lifecycle Optimization Strategy of Single-line Electric Bus Operational Planning Considering Battery Degradation[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(3): 66-75.

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http://www.tseit.org.cn/CN/Y2023/V23/I3/66

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考虑电池退化的单线路电动公交全生命周期运营规划优化策略

Lifecycle Optimization Strategy of Single-line Electric Bus Operational Planning Considering Battery Degradation

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