摘要
船用锂电池是新能源船舶的重要设备,锂电池SOC是船舶可靠安全运行方面的重要依据。由于锂电池具有非线性特点以及复杂的外部工况,如何快速精确的预测锂电池SOC电量是需要研究的重要问题。提出利用锂电池电化学模型,分析锂电池内部反应过程和锂离子扩散形态,在浓溶液理论和平均理论的条件下,使用有限差分法对扩散过程进行离散,从而简化动力学模型。利用上述模型搭建了实验平台,并用卡尔曼滤波方法对电池的SOC进行实时估计,选择混合动力船舶实验室各类船舶工况数据对预测方法进行仿真验证。仿真结果表明,利用降阶电化学模型结合卡尔曼滤波方法能提高船用锂电池SOC预测精度。
Marine lithium battery is an important equipment for new energy vessels, and the battery＇ s SOC is im- portant for the safety and reliability of the ships. To effectively estimate the battery＇ s SOC is difficult because of the characteristics of nonlinear and auxiliary external conditions. Based on electrochemical model, this paper analyzed chemical reactions and lithium-ion＇ s diffusion in the battery using a finite difference method to discretize dynamic diffusion under the conditions of concentrated solution theory and average theory and simplify the model; then an experimental test platform based on the model was built to estimate the battery SOC using a Kalman fiter and a hybrid ship daily condition as driving cycle was used to validate the model; the results of simulation and expriment demonstrate that this model can accurately discribe the dynamic characters and improve the precision of estimation.
出处
《计算机仿真》
CSCD
北大核心
2016年第11期110-114,共5页
Computer Simulation
基金
国家自然科学基金(61304186)
关键词
船用锂电池
电化学模型
荷电状态预测
Marine lithium battery
Electrochemical battery model
Estimation of state of charge
