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A State-of-Health-Oriented Power Management Strategy for Multi-Source Electric Vehicles Considering Situation-Based Optimized Solutions in Real-Time
University of Duisburg-Essen.
Amity University.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för elektronikkonstruktion.
University of Duisburg-Essen.
2019 (engelsk)Inngår i: Proceedings of the Annual Conference of the PHM Society 11 (1), Scottsdale, Arizona, USA: PHM Society , 2019, Vol. 11, s. 1-10, artikkel-id 783Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper presents a novel situation-based power and battery health management strategy for fuel cell vehicles. In such hybrid powertrains, the synergy role of batteries is essential to minimize overall power consumption and maintain higher electrical efficiency of the fuel cell. On the other hand, lifetime degradation of the battery is associated with the recurrent charging / discharging cycles. The proposed power management strategy addresses the trade-off between these contradictory objectives. Vehicle states in each situation are defined in terms of driver-related identification parameters (power demand and speed) corporately with powertrain related ones (on-board battery's state of charge). Optimal power handling solution for each situation is searched offline considering different optimization criteria: range extension, lifetime maximization, or power consumption minimization. A weighted fusion of these optimized solutions can be implemented online based on desired driving strategy, leading to situation-based optimized solution. This contribution aims to provide flexible power handling options meeting performance requirements (energy efficiency and driveability) without scarifying battery life. Simulation tests using different driving cycles are conducted for evaluation purpose.

sted, utgiver, år, opplag, sider
Scottsdale, Arizona, USA: PHM Society , 2019. Vol. 11, s. 1-10, artikkel-id 783
Emneord [en]
Situation-based power management, Health monitoring
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-37566DOI: 10.36001/phmconf.2019.v11i1.783ISBN: 978-1-936263-29-5 (tryckt)OAI: oai:DiVA.org:miun-37566DiVA, id: diva2:1364839
Konferanse
Annual Conference of the Prognostics and Health Management Society 2019
Tilgjengelig fra: 2019-10-22 Laget: 2019-10-22 Sist oppdatert: 2019-10-30bibliografisk kontrollert

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