Novel Classification of Control Strategies for Hybrid Electric Vehicles

Hybrid Electric Vehicles (HEV) only show their fuel consumption potential if the energy control provides high system efficiency. Until now control strategies were classified rule based or optimization based. For implementation it is much more interesting if they can be used in real time and if their result is close to optimum solution. Thirteen different control approaches for energy management which have already been applied in HEVs are studied based on an extensive literature review. They include rule based deterministic and Fuzzy Logic based approaches, as well as transient optimization based approaches such as Equivalent Consumption Minimization Strategy (ECMS) and global optimization based approaches like dynamic programming, game theory or genetic algorithm. Finally a novel classification with regard to needs of application is provided.