Title :
Optimal Control Strategy for Hybrid Electric Vehicle Powertrain
Author :
Al-Aawar, Nizar ; Arkadan, Abdul-Rahman A.
Author_Institution :
Marquette Univ., Milwaukee, WI, USA
Abstract :
An optimal control strategy is developed for the powertrain of hybrid electric vehicles (HEVs) to minimize the fuel consumption while maintaining good performance and drivability. A novel robust identifier using the generalized notion of power approach is developed and used to accurately predict the performance characteristics of the powertrain. The uniqueness of this model is its ability to represent both internal combustion engine (ICE) unit and electrical motor generator (EMG) unit of the powertrain system in one state space system of equations. Thus, it allows proper characterization of the interaction of both units considering the irreversibility of the entropy generation by the ICE unit, load small disturbances, and magnetic material nonlinearity as well as space and time harmonics of the EMG unit. The optimal control strategy is developed in two stages. The first uses a mathematical search algorithm based on the calculus of variation to minimize fuel consumption and develop needed torque to achieve a good performance. The second stage employs a fuzzy logic algorithm to ensure good drivability (comfort). The superiority of the optimization algorithm is demonstrated by applying it to a prototype HEV with split power configuration and by comparing simulation results with readily available benchmark data.
Keywords :
electric generators; electric motors; energy consumption; fuel economy; fuzzy logic; harmonic analysis; hybrid electric vehicles; internal combustion engines; magnetic materials; optimal control; optimisation; power transmission (mechanical); EMG unit; HEV; ICE unit; benchmark data; electrical motor generator unit; entropy generation; fuel consumption minimization; fuzzy logic algorithm; hybrid electric vehicle; internal combustion engine unit; load small disturbances; magnetic material nonlinearity; mathematical search algorithm; optimal control strategy; optimization algorithm; performance characteristic prediction; powertrain system; space and time harmonics; split power configuration; state space system; torque; variation calculus; Economic indicators; Electromyography; Equations; Hybrid electric vehicles; Ice; Mathematical model; Mechanical power transmission; Control of electric machines; hybrid electric vehicles (HEVs); internal combustion engines (ICEs); magnetostatics; mathematical model;
Journal_Title :
Emerging and Selected Topics in Power Electronics, IEEE Journal of
DOI :
10.1109/JESTPE.2014.2323019