JOURNAL ARTICLE

Control strategies for hybrid vehicles: optimal control

Abstract

Control strategies for hybrid vehicles are algorithms that choose at each sampling time the power split between the engine and the motor. This paper presents global optimization algorithms based on the optimal control theory. The objective is to compute, in simulation, the minimum fuel consumption achievable with a given prototype on a given speed cycle. Results can be used as reference for the evaluation of real time control strategies and also for real-time control strategy synthesis.

Keywords:
Fuel efficiency Control (management) Computer science Optimal control Driving cycle Control theory (sociology) Sampling (signal processing) Vehicle dynamics Power consumption Control engineering Power (physics) Mathematical optimization Engineering Automotive engineering Electric vehicle Mathematics Artificial intelligence

Metrics

59
Cited By
5.42
FWCI (Field Weighted Citation Impact)
5
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric and Hybrid Vehicle Technologies
Physical Sciences →  Engineering →  Automotive Engineering
Advanced Combustion Engine Technologies
Physical Sciences →  Chemical Engineering →  Fluid Flow and Transfer Processes
Advanced Battery Technologies Research
Physical Sciences →  Engineering →  Automotive Engineering

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DISSERTATION

Optimal Supervisory Control of Hybrid Vehicles

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University:   AMS Dottorato Institutional Doctoral Theses Repository (University of Bologna) Year: 2014
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