汽车安全与节能学报 ›› 2022, Vol. 13 ›› Issue (3): 407-420.DOI: 10.3969/j.issn.1674-8484.2022.03.001
• 综述与展望 • 下一篇
收稿日期:2022-08-23
出版日期:2022-09-30
发布日期:2022-10-04
通讯作者:
别一鸣
作者简介:* 别一鸣 (1986—),男 (汉),河南,教授。E-mail: yimingbie@126.com。
QU Xiaobo1(
), LIU Yajun2, CHEN Yuwei2, BIE Yiming2,*(
)
Received:2022-08-23
Online:2022-09-30
Published:2022-10-04
Contact:
BIE Yiming
About author:Prof. QU Xiaobo Xiaobo Qu is a Changjiang Chair Professor with School of Vehicle and Mobility, Tsinghua University. Prior to his current appointment, he was a Chair Professor with Chalmers University of Technology, and a faculty member with two Australian universities from 2012—2018. His research is focused on improving large, complex and interrelated urban mobility systems by integrating with emerging technologies. He is the editor in chief of the Communications in Transportation Research and the executive editor in chief of Journal of Intelligent and Connected Vehicles. He also serves as an associate editor or on the editorial boards of some famous journals, such as Transportation Research Part A / E, The Innovation, IEEE Trans on Cybernetics, and Computer-Aided Civil and Intrastructure Engineering. To date, he has secured research funding well above 12 million Euros from the Australian Research Council, Swedish Innovation Agency Vinnova, Swedish Foundation for International Cooperation in Research and Higher Education (STINT), and European Union. He has published over 140 journal articles at top tier journals in the area of transportation. He has been an member in Academia European-The Academy of Europe since 2020.
摘要:
随着公交车辆电动化进程的加快,中国电动公交车保有量迅速增加,已经成为中国城市规模最大的公交车型。科学的电动公交车辆运营管理对于降低公交系统碳排放以及公交企业运营成本具有重要意义。本文介绍了中国和主要西方国家的电动公交车辆发展历程,总结了当前实际运营管理存在的问题;给出了电动公交车辆运营管理的框架体系,从运行能耗估计、车辆调度、节能驾驶、系统资源配置以及效益评价等5个方面对当前的研究成果进行了概述,并对最新的运营管理技术与方法进行了梳理;系统总结了当前研究面临的问题与挑战,从电动公交系统线网规划、基于实际数据的电池寿命估计、智能化排班技术、引入新型供电与充电模式等4个方面对未来的发展趋势进行分析。
中图分类号:
曲小波, 刘亚君, 陈雨薇, 别一鸣. 城市电动公交车辆运营管理:综述与展望[J]. 汽车安全与节能学报, 2022, 13(3): 407-420.
QU Xiaobo, LIU Yajun, CHEN Yuwei, BIE Yiming. Urban electric bus operation management: Review and outlook[J]. Journal of Automotive Safety and Energy, 2022, 13(3): 407-420.
| 年份 | 电动公交车数量 万辆 | 公共汽电车总数量 万辆 | 电动化比例 % |
|---|---|---|---|
| 2016 | 9.49 | 60.86 | 15.6 |
| 2017 | 17.13 | 65.12 | 26.3 |
| 2018 | 25.45 | 67.34 | 37.8 |
| 2019 | 32.45 | 69.33 | 46.8 |
| 2020 | 37.90 | 70.44 | 53.8 |
| 2021 | 41.95 | 70.94 | 59.1 |
| 年份 | 电动公交车数量 万辆 | 公共汽电车总数量 万辆 | 电动化比例 % |
|---|---|---|---|
| 2016 | 9.49 | 60.86 | 15.6 |
| 2017 | 17.13 | 65.12 | 26.3 |
| 2018 | 25.45 | 67.34 | 37.8 |
| 2019 | 32.45 | 69.33 | 46.8 |
| 2020 | 37.90 | 70.44 | 53.8 |
| 2021 | 41.95 | 70.94 | 59.1 |
| 类别 | 理论基础 | 优点 | 缺点 |
|---|---|---|---|
| 经验法 | 无 | 方法简单 | 估计精度较差 |
| 动力学方法 | 纵向动力学、比功率模型 | 估计精度中等;较好地反映车辆运动状态;适用于车辆运行控制 | 数据采集困难;忽略环境温度对电池热损失和车载辅助系统的影响 |
| 数据驱动方法 | 多元回归 | 估计精度中等;可量化各个影响因素的影响程度;外推性好 | 多采用线性形式,结构简单 |
| 深度学习 | 估计精度较高;不需要预先明确数据之间的物理关系 | 对训练数据样本量要求高 |
| 类别 | 理论基础 | 优点 | 缺点 |
|---|---|---|---|
| 经验法 | 无 | 方法简单 | 估计精度较差 |
| 动力学方法 | 纵向动力学、比功率模型 | 估计精度中等;较好地反映车辆运动状态;适用于车辆运行控制 | 数据采集困难;忽略环境温度对电池热损失和车载辅助系统的影响 |
| 数据驱动方法 | 多元回归 | 估计精度中等;可量化各个影响因素的影响程度;外推性好 | 多采用线性形式,结构简单 |
| 深度学习 | 估计精度较高;不需要预先明确数据之间的物理关系 | 对训练数据样本量要求高 |
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