Dynamic Programming Optimized Constrained Engine On and Off Control Strategy for Parallel HEV Conference Paper

abstract

• This paper presents a new control strategy to optimize the fuel economy of parallel configured charge sustained hybrid electric vehicles. This new approach is a constrained engine on-off strategy, which has been developed from the two extreme control strategies of maximum SOC and engine on-off, by taking their advantages and overcoming their disadvantages. A system optimization program using dynamic programming algorithm has been developed to calibrate the control parameters used in the developed control strategy, so that its performance can be as close to the optimal solution as possible. For this paper, a passenger car is simulated on a typical highway driving cycle to illustrate the strategy. The methodology developed can be used on other types of vehicles operating in different environments, such as cities, suburban areas, and their combinations. 2013 IEEE.

name of conference

• 2013 IEEE Vehicle Power and Propulsion Conference (VPPC)

authors

• Ehsani, Mehrdad

published proceedings

• 2013 9TH IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)

author list (cited authors)

• Lai, L., & Ehsani, M.

citation count

• 13

complete list of authors

• Lai, Lin||Ehsani, Mehrdad

publication date

• October 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• 2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)  Journal

keywords

• Dynamic Programming
• Energy Management
• Hybrid Electric Vehicle

Digital Object Identifier (DOI)

• 10.1109/vppc.2013.6671731

International Standard Book Number (ISBN) 13

• 9781479907205

start page

• 422

end page

• 426

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fvppc.2013.6671731

user-defined tag

• 7 Affordable and Clean Energy