A DA-based ECMS for energy optimisation of parallel diesel electric hybrid ship

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.

KEYWORDS:

• Diesel electric hybrid
• DA-ECMS
• energy optimisation
• SOC trajectory planning

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work is supported by National Natural Science Foundation of China (NSFC) [grant number 51579200]