Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level Based on Battery Aging

Jon Ander López-Ibarra (), Haizea Gaztañaga, Josu Olmos, Andoni Saez- de-Ibarra and Haritza Camblong ()
Additional contact information
Jon Ander López-Ibarra: Jema Energy
Haizea Gaztañaga: IKERLAN Technology Research Centre, BRTA
Josu Olmos: IKERLAN Technology Research Centre, BRTA
Andoni Saez- de-Ibarra: IKERLAN Technology Research Centre, BRTA
Haritza Camblong: University of the Basque Country (UPV/EHU), Faculty of Engineering of Gipuzkoa, Plaza de Europa and Univ. Bordeaux, Estia Institute of Technology

A chapter in Intelligent Control and Smart Energy Management, 2022, pp 45-77 from Springer

Abstract: Abstract This chapter focuses on a hierarchical energy management strategy design methodology for total cost of ownership management at fleet level. A state of the art is presented of the different proposed learning-based energy management strategies and fleet energy management approaches. Digitalization, the new trend of monitoring the operation of each vehicle, and cloud computing new techniques, allowing to carry out heavier calculations on servers, have derived from new energy management strategy techniques and degrees of freedom. The fleet operation data acquisition allows to upgrade the management level from the local vehicle level to the fleet level. The fleet-level point of view facilitates the decisions when updating the energy management strategy and gives an additional degree of freedom of managing and optimizing the whole fleet. To exploit the new degrees of freedom, the fleet is reorganized, and the energy management strategy is updated throughout the bus lifetime. These decisions are made based on the planned total cost of ownership for each type of plug-in hybrid electric bus with determined battery chemistry. The most suitable decisions will be evaluated according to each type of bus, optimizing the total cost of ownership further. Improvements of the whole total cost of ownership in both fleets have been obtained, proving the need of EMS update and fleet reorganization.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:spochp:978-3-030-84474-5_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030844745

DOI: 10.1007/978-3-030-84474-5_2

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().