Battery Management System for Optimal Operation of Hybrid Ships (HybridBMS)

Researcher: Hyungjun Jeon

Developing a battery management system (BMS) for hybrid ships, including all the required models and control functions with the objective to optimize the fuel efficiency and lifetime of the battery and integration with the ship energy management system (EMS). The work will be performed in collaboration with OSP project and KAIST in Korea. The work will include:

Developing a simulation model for the hybrid ship power system to be used for the design and verification of energy storage system (ESS). This would be performed in collaboration with the OSP project.

Development of predictive models of the battery to estimate the state of health (SOH) of batteries: it will include Li-ion battery as well as emerging battery technologies for ships. Data-driven digital twin approach will be considered.

Determination of scenarios from real operational data and apply them to the simulator.

Implementation and verification of BMS and the coordination with the EMS. The proposed control system will be verified through hardware-in-the-loop (HiL) testing. The test and verification process should be conducted under relevant ship load and operating conditions. The effect of unexpected situations and environmental conditions should be investigated.

Investigating possible solutions for load prediction and online optimization of battery performance based on predictive control approaches and machine learning.

Project Partners

Norwegian University of Science and Technology (NTNU)

Korea Shipbuilding and Offshore Engineering (KSOE)

Project Duration

January 2020 - January 2023