摘要
锂亚硫酰氯(Li/SOCl_(2))电池是智能电能表的核心备用电源,其运行可靠性是电费计算和分时阶梯电量准确计量的保证,但因Li/SOCl_(2)电池复杂的结构特性和硬件环境因素的影响,实现可靠性的精准预测面临挑战。针对Li/SOCl_(2)电池可靠性预测方法进行综述,从传统实验方法、基于模型的预测方法和基于数据驱动的预测方法三方面系统分析了现有预测方法和技术,归纳了各种电池剩余寿命预测方法的优点和存在的问题。未来需融合多方法优势,优化实验技术、增强模型耦合性,改进数据驱动模型的可解释性,以提升预测精度,进而为智能电能表长期稳定运行提供理论支撑。
Lithium thionyl chloride(Li/SOCl_(2))batteries are the core backup power source for smart energy meters,and their operational reliability is the guarantee of accurate metering for tariff calculation and time-stepped power metering,but due to the complex structural characteristics of Li/SOCl_(2)batteries and the influence of hardware environmental factors,it is a challenge to realize accurate prediction of their reliability.In this paper,we review the methods of Li/SOCl_(2)battery reliability prediction,systematically analyze the existing prediction methods and technologies from three aspects:traditional experimental methods,model-based prediction methods and data-driven prediction methods,summarize the advantages of various battery residual life prediction methods,the remaining problems,and the need to integrate the advantages of multi-methods in the future to optimize experimental techniques,enhance the coupling of the model,and improve the interpretability of the data-driven model,in order to ensure the accuracy of time-sharing ladder metering.In the future,it is necessary to integrate the advantages of multiple methods,optimize the experimental technology,enhance the model coupling,and improve the interpretability of the data-driven model,so as to improve the prediction accuracy,and then provide theoretical support for the long-term and stable operation of smart meters.
作者
丁海丽
严绍奎
DING Haili;YAN Shaokui(Marketing Service Centre,State Grid Ningxia Electric Power Co.,Ltd.(Metering Centre of State Grid Ningxia Electric Power Co.,Ltd.),Yinchuan Ningxia 750011,China)
出处
《宁夏电力》
2025年第3期22-28,共7页
Ningxia Electric Power
基金
国网宁夏电力有限公司项目(5229YX240008)。
