LAPSE:2023.22025
Published Article

LAPSE:2023.22025
Road Test-Based Electric Bus Selection: A Case Study of the Nanjing Bus Company
March 23, 2023
Abstract
Globally, the use of electric vehicles, and in particular the use of electric buses, has been increasing. The city of Nanjing leads China in the adoption of electric buses, supported by city policies and infrastructure. To lower costs and provide a better service, vehicle selection is crucial, however, existing selection methods are limited. Accordingly, Nanjing Bus Company developed a test method based on road tests to select a bus. This paper presents a detailed description of the test method and a case study of its application. The method included an organization structure, selection of eight test vehicles (four 10 m length, four 8 m length) from four brands (a total of 32 test vehicles), selection of indicators and selection of routes. Data was collected from repeated drives by 65 drivers over an 8-week period. Indicators included power consumption, charging duration, failure duration and driving distance. It is concluded that the road test method designed and conducted by the Nanjing Bus Company provides a good framework for the selection of pure electric buses. Furthermore, subsequent experience with selected buses supports the validity and value of the model.
Globally, the use of electric vehicles, and in particular the use of electric buses, has been increasing. The city of Nanjing leads China in the adoption of electric buses, supported by city policies and infrastructure. To lower costs and provide a better service, vehicle selection is crucial, however, existing selection methods are limited. Accordingly, Nanjing Bus Company developed a test method based on road tests to select a bus. This paper presents a detailed description of the test method and a case study of its application. The method included an organization structure, selection of eight test vehicles (four 10 m length, four 8 m length) from four brands (a total of 32 test vehicles), selection of indicators and selection of routes. Data was collected from repeated drives by 65 drivers over an 8-week period. Indicators included power consumption, charging duration, failure duration and driving distance. It is concluded that the road test method designed and conducted by the Nanjing Bus Company provides a good framework for the selection of pure electric buses. Furthermore, subsequent experience with selected buses supports the validity and value of the model.
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Keywords
electric bus, road operation test, sustainable development, vehicle selection
Subject
Suggested Citation
Gong J, He J, Cheng C, King M, Yan X, He Z, Zhang H. Road Test-Based Electric Bus Selection: A Case Study of the Nanjing Bus Company. (2023). LAPSE:2023.22025
Author Affiliations
Gong J: School of Transportation, Southeast University, Nanjing 210018, China
He J: School of Transportation, Southeast University, Nanjing 210018, China [ORCID]
Cheng C: School of Transportation, Southeast University, Nanjing 210018, China
King M: Centre for Accident Research and Road Safety, Queensland University of Technology, Brisbane 4059, Australia [ORCID]
Yan X: School of Transportation, Southeast University, Nanjing 210018, China
He Z: School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China
Zhang H: School of Transportation, Southeast University, Nanjing 210018, China
He J: School of Transportation, Southeast University, Nanjing 210018, China [ORCID]
Cheng C: School of Transportation, Southeast University, Nanjing 210018, China
King M: Centre for Accident Research and Road Safety, Queensland University of Technology, Brisbane 4059, Australia [ORCID]
Yan X: School of Transportation, Southeast University, Nanjing 210018, China
He Z: School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China
Zhang H: School of Transportation, Southeast University, Nanjing 210018, China
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1253
Year
2020
Publication Date
2020-03-08
ISSN
1996-1073
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PII: en13051253, Publication Type: Journal Article
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LAPSE:2023.22025
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https://doi.org/10.3390/en13051253
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Mar 23, 2023
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