Modelling, control and application of dynamic programming to a series-parallel hybrid electric vehicle

Abstract

© 2015 Dime universita di genova, dimeg university of calabria. All rights reserved.Hybrid Electric Vehicles (HEVs) present a wide range of powertrain configurations, degrees of hybridization and added costs when compared to conventional powertrains. From the point of view of control system, the major problem is the reduction of fuel consumption and pollutant emission. A method for determining the strategy that best suits this problem relies on minimization methods that find the optimal control variables depending on the system states and cost functions. This paper presents the modelling of the powertrain of a series-parallel HEV and control strategies with focus on fuel consumption reduction. As energy management strategy, a rule based (sub optimal) and dynamic programming (optimal) methods were implemented. Results obtained with both models are compared with real dynamometer test.