The main objectives of this paper are to demonstrate the development of the hybrid vehicle control system with the GPS (navigation) system of a vehicle travelling a pre-planned driving route. To verify the improvement in vehicle fuel economy, we developed the forward-facing simulator, which can be applied to the proposed HEVs control system. The proposed HEVs control system recognizes upcoming driving patterns because it has terrain (uphill, downhill) and speed information. The controller calculates the parameters related to pattern recognition during a sampling time to choose a comparable driving cycle and to classify into three driving modes (Urban/ Extra-urban/ Highway mode). Moreover, a dynamic programming approach is proposed to obtain the optimal fuel economy and the state of charge (SOC) trajectory. For this approach, we developed a rule-based controller to manage the battery SOC according to the target SOC range. The amount of the target SOC range depends on the driving pattern recognition during a specific time period. The conventional HEV control system sustains the battery SOC within a limited range. Compared with the conventional controller, the proposed control system, by using road slope and speed information, gives results that confirm improved fuel economy.
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