Optimization of energy management has been a long standing problem in control of hybrid electric vehicles (HEVs). Several approaches have been proposed, including rule-based methods, deterministic dynamic programming-based methods and stochastic dynamic programming-based methods. These approaches exploit energy storage capability of the battery to minimize fuel consumption while maintaining battery state of charge. Another approach, based on the game theory, has been proposed for optimization of operating policy of powertrain systems with storage elements, and yet this approach remained unexplored for HEV applications. The objective of this paper is to demonstrate the application of this game-theoretic approach to HEV energy management, and to compare the results of its application to deterministic dynamic programming and other techniques. Initial application of dynamic programming and game theory has highlighted an issue with mode chattering, and measures to prevent mode chattering have been defined.
Approaches to optimisation of energy management in a hybrid electric vehicle
Verfahren für die Optimierung des Energie-Managements in einem Hybridelektrofahrzeug
2007
12 Seiten, 10 Bilder, 1 Tabelle, 12 Quellen
Aufsatz (Konferenz)
Englisch
Automated topology optimisation of hybrid electric vehicle powertrains
Kraftfahrwesen | 2015
|Europäisches Patentamt | 2023
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