T. Hofman, M. Steinbuch, R. V. Druten, A. Serrarens
2007.7.9International Journal of Electric and Hybrid Vehicles
tlooto Summary
The RB-ECMS proposed in this paper requires significantly less computation time with a similar result to DP (within 1% accuracy) and is compared with the strategy based on Dynamic Programming (DP), which is inherently optimal for a given cycle.
Abstract
The highest control layer of a (hybrid) vehicular drive train is termed the Energy Management Strategy (EMS). In this paper an overview of different control methods is given and a new rule-based EMS is introduced, based on the combination of Rule-Based and Equivalent Consumption Minimization Strategies (RB-ECMS). The RB-ECMS uses only one decision variable and requires no tuning of many threshold control values and parameters. This decision variable represents the maximum propulsion power of the secondary power source (i.e. electric machine/battery) during pure electric driving. The RB-ECMS is compared with the strategy based on Dynamic Programming (DP), which is inherently optimal for a given cycle. The RB-ECMS proposed in this paper requires significantly less computation time with a similar result to DP (within 1% accuracy).
Citation format
HOFMAN, T., et al. Rule-based energy management strategies for hybrid vehicles. International Journal of Electric and Hybrid Vehicles, 2007, 1: 71–94.