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Comparison of three electrochemical energy buffers applied to a hybrid bus powertrain with simultaneous optimal sizing energy management
Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
RISE, Swedish ICT, Viktoria. Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
2014 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 15, no 3, p. 1193-1205, article id 6708463Article in journal (Refereed) Published
Abstract [en]

This paper comparatively examines three different electrochemical energy storage systems (ESSs), i.e., a Li-ion battery pack, a supercapacitor pack, a dual buffer, for a hybrid bus powertrain operated in Gothenburg, Sweden. Existing studies focus on comparing these ESSs, in terms of either general attributes (e.g., energy density power density) or their implications to the fuel economy of hybrid vehicles with a heuristic/nonoptimal ESS size power management strategy. This paper adds four original contributions to the related literature. First, the three ESSs are compared in a framework of simultaneous optimal ESS sizing energy management, where the ESSs can serve the powertrain in the most cost-effective manner. Second, convex optimization is used to implement the framework, which allows the hybrid powertrain designers/integrators to rapidly optimally perform integrated ESS selection, sizing, power management. Third, both hybrid electric vehicle (HEV) plug-in HEV (PHEV) scenarios for the powertrain are considered, in order to systematically examine how different the ESS requirements are for HEV PHEV applications. Finally, a sensitivity analysis is carried out to evaluate how price variations of the onboard energy carriers affect the results conclusions.

Place, publisher, year, edition, pages
2014. Vol. 15, no 3, p. 1193-1205, article id 6708463
Keywords [en]
convex optimization, Electrified Vehicle, Energy Management Strategy, energy storage, Optimal Sizing
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-31946DOI: 10.1109/TITS.2013.2294675Scopus ID: 2-s2.0-84902077651OAI: oai:DiVA.org:ri-31946DiVA, id: diva2:1151804
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2020-12-01Bibliographically approved

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