Accurate state-of-charge (SOC) estimation in lead-acid batteries is an ever-increasing necessity in an industry that demands low-maintenance costs and highly available systems. If the batteries are charged by photovoltaic panels and are installed in remote sites and exposed to aggressive ...
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State-of-charge (SOC), a parameter to describe how much energy battery has, is a key factor in battery management and its estimation is an important and challenging task. We develop an adaptive neuro-fuzzy inference system (ANFIS) to achieve the goal. First in this paper, nonconventional ...
Fig.6 Comparison of SOC error between joint estimation and individual estimation 从图6可以看出,采用本文提出的联合估计方法对SOC估算的平均MAE和平均RMSE基本上小于0.04,即使Cell 1～Cell 8和RW 3～RW 6是在不同工况下进行的老化实验,其平均MAE和平均RMSE均较为平稳,而采用EKF单独估计SOC,平均MAE和平均RMSE均...
Lithium-Ion Battery State-of-Charge Estimation Using Electrochemical Model with Sensitive Parameters Adjustment 基于敏感参数调整的电化学模型估计锂离子电池的荷电状态 来自四川大学,刘天琪教授和孟锦豪副研究员团队的文章 https://www....
11.SOC Estimating of Ni/MH Battery Band Using Neural Network;镍氢电池组SOC神经网络估算策略研究 12.Using Different Methods to Estimate the Soil Organic Carbon in Densely Populated Rural;人口稠密区村域SOC的多方法估算 13.Research on Strategy of SOC Estimation for Lead-acid Battery of Electrical Vehic...
The traditional BP diagnostic model and the new model are trained and tested by using the test data at different discharge rates. Experiments with measured data indicate that compared with the traditional BP neura...
Chong Wen13 proposed a data-based predictive method for lithium-ion battery SOC based on the enhanced recurrent neural network algorithm with attention mechanism, which can improve the accuracy of SOC estimation results by reducing prediction errors. In this paper, we propose the ConvolGRU-MHA ...