Predictive control for energy management in all/more electric vehicles with multiple energy storage units

West, M J and Bingham, Chris and Schofield , N (2003) Predictive control for energy management in all/more electric vehicles with multiple energy storage units. In: Electric Machines and Drives Conference, 2003. IEMDC'03. IEEE International , Toulouse, France.

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Abstract

The paper describes the application of Model Predictive Control (MPC) methodologies for application to electric and hybrid-electric vehicle drive-train formats incorporating multiple energy/power sources. Particular emphasis is given to the co-ordinated management of energy flow from the multiple sources to address issues of extended vehicle range and battery life-time for all-electric drive-trains, and emissions reduction and drive-train torsional oscillations, for hybrid-electric counterparts, whilst accommodating operational constraints and, ultimately, generic non-standard driving cycles.

Item Type: Conference or Workshop Item (Presentation)
Additional Information: The paper describes the application of Model Predictive Control (MPC) methodologies for application to electric and hybrid-electric vehicle drive-train formats incorporating multiple energy/power sources. Particular emphasis is given to the co-ordinated management of energy flow from the multiple sources to address issues of extended vehicle range and battery life-time for all-electric drive-trains, and emissions reduction and drive-train torsional oscillations, for hybrid-electric counterparts, whilst accommodating operational constraints and, ultimately, generic non-standard driving cycles.
Keywords: Predictive Control, Energy Storage, Automotive applications, DC power supplies, Efficiency, Electric vehicles, Energy system management
Subjects: H Engineering > H600 Electronic and Electrical Engineering
Divisions: College of Sciences > Faculty of Science > Lincoln School of Engineering
Depositing User: Paul Stewart
Date Deposited: 23 May 2010 20:27
Last Modified: 13 Mar 2013 08:38
URI: http://eprints.lincoln.ac.uk/id/eprint/2550

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