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Author:

He, Jia (He, Jia.) | Yan, Na (Yan, Na.) | Zhang, Jian (Zhang, Jian.) | Wang, Tao (Wang, Tao.) | Chen, Yan-Yan (Chen, Yan-Yan.) | Tang, Tie-Qiao (Tang, Tie-Qiao.)

Indexed by:

SSCI EI Scopus SCIE

Abstract:

With the increasing of Battery Electricity Bus (BEB), the orderly charging of buses becomes more and more important. This paper formulates a battery electric bus energy consumption model based on characteristic data, and proposes a simple method to extract the characteristic data from the unordered data. A simple and practical BEB charging plan schedule optimization model based on BEB fleet's departure plan timetable and trip electricity consumption estimation is developed. Given some realistic assumptions, the schedule model is formulated as a mixed integer linear model. The objective function can accurately calculate the charging cost in a linear manner. Only two kinds of constraints are included in the model, they can ensure each BEB journey is feasible. The real-world numerical tests show that: in the simulation cases, the average relative error of the energy consumption model is 7.5-9.2% and the optimized charging plan could reduce the charging cost by about 16%.

Keyword:

Charging plan schedule Battery electricity bus Optimization model Characteristic data Bus energy consumption estimation

Author Community:

  • [ 1 ] [He, Jia]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Yan, Na]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Jian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Chen, Yan-Yan]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Tao]Tsinghua Univ, Sch Vehicle & Mobil, Beijing 100084, Peoples R China
  • [ 6 ] [Tang, Tie-Qiao]Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China

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Source :

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

ISSN: 1361-9209

Year: 2022

Volume: 115

7 . 6

JCR@2022

7 . 6 0 0

JCR@2022

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:27

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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