Title: Adaptive control for hybrid electric vehicles

Authors: Sanjaka G. Wirasingha, Srdjan M. Lukic, Fernando Rodriguez, Antonis I. Antoniou, Ali Emadi

Addresses: Electric Power and Power Electronics Center, Illinois Institute of Technology, 3301 S. Dearborn Street, Chicago, IL 60616, USA. ' Electric and Computer Engineering, North Carolina State University, Raleigh, NC 27695-7911, USA. ' Electric Power and Power Electronics Center, Illinois Institute of Technology, 3301 S. Dearborn Street, Chicago, IL 60616, USA. ' Electric Power and Power Electronics Center, Illinois Institute of Technology, 3301 S. Dearborn Street, Chicago, IL 60616, USA. ' Electric Power and Power Electronics Center, Illinois Institute of Technology, 3301 S. Dearborn Street, Chicago, IL 60616, USA

Abstract: Existing controllers of hybrid electric vehicles (HEV) are mostly tuned to achieve higher fuel economy for specific driving conditions. In this paper, a brief review of control strategies is presented followed by new approaches to implementing an optimisation based controller. First, a control strategy based on stochastic dynamic programming that can be used for real time applications is presented. This strategy achieves about 10% increase in fuel efficiency in most drive cycles over a rule-based control strategy. The second analysis uses an artificial neural network (ANN) to develop an optimised control strategy. Several existing hybrid control strategies are used to model a base for city and highway driving. Elite simulation data was extracted to form a training set for the ANN. The training set was then used to develop a new ANN control strategy that was superior to all the existing strategies used to develop the training set.

Keywords: adaptive control; artificial neural networks; ANNs; classification; control strategy; drive trains; fuel efficiency; fuel economy; hybrid electric vehicles; HEVs; intelligent control; power electronics; Markov dynamic programming; MDP; optimisation; alternative propulsion; highway driving; simulation; city driving.

DOI: 10.1504/IJEHV.2011.042142

International Journal of Electric and Hybrid Vehicles, 2011 Vol.3 No.2, pp.99 - 122

Received: 12 May 2010
Accepted: 26 Dec 2010
Published online: 28 Aug 2011 *

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