Abstract
ABSTRACT Aiming at the poor real-time performance of equivalent fuel consumption minimisation strategy (ECMS), the energy efficiency is low. A discrete adaptive equivalent fuel consumption minimisation strategy (DA-ECMS) which can adapt to different conditions and navigation characteristics is proposed. In order to improve the efficiency of battery power, a linear descent state of charge (SOC) trajectory planning and its range are proposed for the known mileage. For the unknown mileage, the interval average value based on the maximum allocation probability of historical mileage is proposed as the reference mileage for SOC planning. In order to verify the effectiveness of the proposed algorithm, it is compared with charge depleting /charge sustaining (CD-CS) strategy and dynamic programming (DP) strategy. The simulation results show that compared with CD-CS strategy and DP strategy, the DA-ECMS strategy can reasonably distribute the torque of engine and motor, effectively maintain the battery power and achieve lower fuel consumption.
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