Battery systems are becoming an increasingly attractive alternative for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion and manoeuvring is growing. In order to ensure the safety of such electric ships, it is of paramount importance to monitor the available energy that can be stored in the batteries, and classification societies typically require that the state of health of the batteries can be verified by independent tests — annual capacity tests. However, this paper discusses data-driven state of health modelling for maritime battery systems based on operational sensor data collected from the batteries as an alternative approach. Thus, this paper presents a comprehensive review of different data-driven approaches to state of health modelling, and aims at giving an overview of current state of the art. More than 300 papers have been reviewed, most of which are referred to in this paper. Moreover, some reflections and discussions on what types of approaches can be suitable for modelling and independent verification of state of health for maritime battery systems are presented.

电池系统正在成为为远洋船舶提供动力的越来越有吸引力的替代方案，依靠电池动力进行推进和操纵的全电动或混合动力船舶的数量正在增加。为了确保此类电动船的安全，监控可存储在电池中的可用能量至关重要，船级社通常要求可以通过独立测试来验证电池的健康状况——每年一次容量测试。然而，本文讨论了基于从电池收集的操作传感器数据作为替代方法的海事电池系统的数据驱动健康状态建模。因此，本文全面回顾了不同数据驱动的健康建模方法，并旨在概述当前的技术状态。审阅了300多篇论文，其中大部分在本文中被引用。此外，还提出了关于哪些类型的方法适用于海上电池系统健康状态的建模和独立验证的一些思考和讨论。