The efficiency improvement of parallel hybrid electric vehicles (HEVs) is strongly dependent on how the supervisory control of a vehicle determines the power split between the internal combustion engine (ICE) and the electric motor of the vehicle. This paper presents a classification of current supervisory control techniques with distinction between dynamic and static control methods; a description of the simulation software ADvanced VehIcle SimulatOR (ADVISOR) with Matlab Simulink for simulation of a rule-based control strategy, and proposed optimization methods.
A. Meintz and M. Ferdowsi, "Control Strategy Optimization for a Parallel Hybrid Electric Vehicle," Proceedings of the IEEE Vehicle Power and Propulsion Conference, 2008, Institute of Electrical and Electronics Engineers (IEEE), Sep 2008.
The definitive version is available at http://dx.doi.org/10.1109/VPPC.2008.4677505
IEEE Vehicle Power and Propulsion Conference, 2008
Electrical and Computer Engineering
Keywords and Phrases
Electric Motors; Hybrid Electric Vehicles; Internal Combustion Engines; Machine Control Optimisation
Article - Conference proceedings
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