Optimal scheduling for electric bus fleets based on dynamic programming approach by considering battery capacity fade

Jing Wang, Lixia Kang and Yongzhong Liu

Renewable and Sustainable Energy Reviews, 2020, vol. 130, issue C

Abstract: The extension of battery life in electric bus fleets depends intimately on the effective energy management of both internal controls on board and external operations on roads. In this work, an optimal scheduling method based on dynamic programming was proposed to minimize battery replacement costs during the entire service life of electric bus fleets. It highlighted a three-part model. In the first part, the dynamic programming model was proposed to solve the scheduling problem for electric bus fleets. In the second part, a reverse order matching strategy was proposed to simultaneously consider the battery capacity fading processes and the differences in the working loads. In the third part, the battery capacity degradation model was used to determine the amount of battery capacity loss and the number of battery replacements. A case study was used to demonstrate the implementation procedure of the proposed method. The influences of practical factors, such as the differences in the working loads, the number of the electric bus fleets, the duration of the scheduling period, and the working temperature of batteries on the electric bus fleet scheduling were analysed and discussed. Compared with the base case, the proposed method reduces the investment for battery replacements by 20% for the entire electric bus fleet system. The proposed method can readily be applied to a large-scale public transit system to formulate optimal scheduling schemes.

Keywords: Electric bus fleet; Optimal scheduling; Dynamic programming; Battery capacity fading; Reverse order matching strategy (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032120302690
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:130:y:2020:i:c:s1364032120302690

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2020.109978

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().