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, Harbin, China), Institute of Electrical and Electronics Engineers (IEEE), Sep 2008.
The definitive version is available at https://doi.org/10.1109/VPPC.2008.4677505
IEEE Vehicle Power and Propulsion Conference (2008: Sep. 3-5, Harbin, China)
Electrical and Computer Engineering
Keywords and Phrases
Electric Motors; Hybrid Electric Vehicles; Internal Combustion Engines; Machine Control Optimisation; ADVISOR; Control Classification; Route Prediction; Rule-Based Control; Supervisory Control; Automobile Simulators; Automobiles; Concurrency Control; Control Theory; Electric Automobiles; Electric Machinery; Electric Vehicles; Fuzzy Control; Internal Combustion Engines; MATLAB; Motors; Optimization; Propulsion; SCADA Systems; Secondary Batteries; System Stability; Vehicles; Ice Control
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Article - Conference proceedings
© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Sep 2008