Including a battery state of health model in the hev component sizing and optimal control problemShow others and affiliations
2013 (English)In: IFAC Proceedings Volumes (IFAC-PapersOnline), 2013, Vol. 7, no PART 1, p. 398-403Conference paper, Published paper (Refereed)
Abstract [en]
This paper studies convex optimization and modelling for component sizing and optimal energy management control of hybrid electric vehicles. The novelty in the paper is the modeling steps required to include a battery wear model into the convex optimization problem. The convex modeling steps are described for the example of battery sizing and simultaneous optimal control of a series hybrid electric bus driving along a perfectly known bus line. Using the proposed convex optimization method and battery wear model, the city bus example is used to study a relevant question: is it better to choose one large battery that is sized to survive the entire lifespan of the bus, or is it beneficial with several smaller replaceable batteries which could be operated at higher c-rates?
Place, publisher, year, edition, pages
2013. Vol. 7, no PART 1, p. 398-403
Keywords [en]
Batteries, Battery state of health, Convex optimization, Hybrid electric vehicle, Optimal dimensioning and control, Component sizing, Convex modeling, Convex optimization methods, Convex optimization problems, Optimal control problem, Optimal controls, Series hybrids, State of health, Hybrid vehicles, Optimal control systems, Optimization, Solar cells
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-48695DOI: 10.3182/20130904-4-JP-2042.00018Scopus ID: 2-s2.0-84885899784ISBN: 9783902823434 (print)OAI: oai:DiVA.org:ri-48695DiVA, id: diva2:1468517
Conference
7th IFAC Symposium on Advances in Automotive Control, AAC 2013; Tokyo; Japan; 4 September 2013 through 7 September 2013
Note
Funding details: Energimyndigheten; Funding text 1: ⋆ This research was funded by the Chalmers Energy Initiative and the Swedish Energy Agency in the FFI-project Integrated Vehicle Design and Control.
2020-09-182020-09-182020-12-01Bibliographically approved