An RED Hybrid Model for SOC Tracking, Runtime Prediction and Transient Response Description

Zhihong Yan, Ying Huang, Chenxiao Jiang, Ying Mei, Siew-Chong Tan, C. Tang, S. Hui
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Abstract

This paper presents a hybrid model combining an improved kinetic battery model (KiBaM) with an electrical circuit model (ECM) for capturing the behaviors of a reverse electrodialysis (RED) stack in the recycle operation mode. This model is capable of capturing the self-consumed effect and nonlinear effects (i.e., rate capacity effect and recovery effect), tracking the state of charge (SOC), predicting the runtime and describing the transient response of the stack. The details of the model extraction procedure are explained. The validity of the proposed model is verified by the comparison between experimental and numerical simulation results.
一种用于SOC跟踪、运行时预测和瞬态响应描述的RED混合模型
本文提出了一种将改进的动力电池模型(KiBaM)与电路模型(ECM)相结合的混合模型,用于捕获反向电渗析(RED)堆在循环操作模式下的行为。该模型能够捕捉自消耗效应和非线性效应(即速率容量效应和恢复效应),跟踪充电状态(SOC),预测运行时间和描述堆栈的瞬态响应。详细说明了模型提取过程。通过实验与数值模拟结果的对比,验证了模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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