State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends

Laiqiang Kong, Yingbing Luo, Sidun Fang, Tao Niu, Guanhong Chen, Lijun Yang, Ruijin Liao
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Abstract

With the aggravation of environmental problems caused by the long-term dependence of shipping traffic on heavy fossil fuels, it is an irreversible development trend for electrified ships to integrate large-capacity battery energy storage systems (ESSs). As the main component, the shipboard lithium-ion battery (LIB) plays an important role in the operation of ship power system to balance the source and load sides. By analyzing the effects of temperature, vibration, humidity and salt spray on battery characteristics in the shipping environment, this paper points out that the characteristics of shipboard LIB have certain differences on the state changes with the land-based batteries. Then, this paper systematically reviews the most commonly used LIB modeling and state estimation methods and their applicability to the shipping environment, including the empirical models, electrochemical models, equivalent circuit models (ECMs) and data-driven models. On this basis, the state estimation methods of state of charge (SOC), state of power (SOP), state of health (SOH), state of energy (SOE) and state of temperature (SOT) are reviewed. Finally, the challenges and prospects of shipboard LIB research are prospected, in the hope of providing inspiration for the development and design of efficient and safe electric ships.

Abstract Image

船用锂离子电池的状态估计:关键挑战与未来趋势
随着航运长期依赖重质化石燃料造成的环境问题的加剧,电气化船舶集成大容量电池储能系统(ess)是不可逆转的发展趋势。船用锂离子电池作为舰船电力系统的主要组成部分,在舰船电力系统运行中起着平衡源侧和负载侧的重要作用。通过分析船舶环境中温度、振动、湿度、盐雾等因素对电池特性的影响,指出船载LIB的特性对电池状态变化的影响与陆基电池有一定的差异。然后,系统综述了目前最常用的LIB建模和状态估计方法,包括经验模型、电化学模型、等效电路模型和数据驱动模型。在此基础上,综述了荷电状态(SOC)、功率状态(SOP)、健康状态(SOH)、能量状态(SOE)和温度状态(SOT)的状态估计方法。最后,对舰载LIB研究面临的挑战和前景进行了展望,希望为高效、安全的电动船舶的开发设计提供启示。
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