The incremental capacity analysis(ICA)technique is notably limited by its sensitivity to variations in charging conditions,which constrains its practical applicability in real-world scenarios.This paper introduces an ...The incremental capacity analysis(ICA)technique is notably limited by its sensitivity to variations in charging conditions,which constrains its practical applicability in real-world scenarios.This paper introduces an ICA-compensation technique to address this limitation and propose a generalized framework for assessing the state of health(SOH)of batteries based on ICA that is applicable under differing charging conditions.This novel approach calculates the voltage profile under quasi-static conditions by subtracting the voltage increase attributable to the additional polarization effects at high currents from the measured voltage profile.This approach's efficacy is contingent upon precisely acquiring the equivalent impedance.To obtain the equivalent impedance throughout the batteries'lifespan while minimizing testing costs,this study employs a current interrupt technique in conjunction with a long short-term memory(LSTM)network to develop a predictive model for equivalent impedance.Following the derivation of ICA curves using voltage profiles under quasi-static conditions,the research explores two scenarios for SOH estimation:one utilizing only incremental capacity(IC)features and the other incorporating both IC features and IC sampling.A genetic algorithm-optimized backpropagation neural network(GABPNN)is employed for the SOH estimation.The proposed generalized framework is validated using independent training and test datasets.Variable test conditions are applied for the test set to rigorously evaluate the methodology under challenging conditions.These evaluation results demonstrate that the proposed framework achieves an estimation accuracy of 1.04%for RMSE and 0.90%for MAPE across a spectrum of charging rates ranging from 0.1 C to 1 C and starting SOCs between 0%and 70%,which constitutes a major advancement compared to established ICA methods.It also significantly enhances the applicability of conventional ICA techniques in varying charging conditions and negates the necessity for separate testing protocols for each charging scenario.展开更多
为将真空断路器应用于更高电压等级,多断口真空断路器的研究成为行业内的热点问题。在分析总结此前研究成果的基础上,设计了一种由3个光控真空断路器模块(FCVIM)串联组成的126 k V真空断路器。断路器按照U形方式串联光控真空断路器模块...为将真空断路器应用于更高电压等级,多断口真空断路器的研究成为行业内的热点问题。在分析总结此前研究成果的基础上,设计了一种由3个光控真空断路器模块(FCVIM)串联组成的126 k V真空断路器。断路器按照U形方式串联光控真空断路器模块,光控真空断路器模块主要由外绝缘部件、真空灭弧室、均压电容、永磁操动机构及其控制器和操动电源等部分组成,在低电位通过光纤控制技术对工作于高电位的永磁操动机构进行控制。对三断口真空断路器和单断口真空断路器模块分别施加雷电冲击电压,结果显示三断口真空断路器相对单断口真空断路器的击穿电压增益倍数为1.59;在并联不同均压电容和人为制造三断口不同步分断情况下研究三断口真空断路器暂态电压分布特性,发现低分散性操动机构和均压电容的应用可以有效提高其开断能力。三断口真空断路器在额定电压下成功开断40 k A短路电流,在不同试验方式下完成重合闸操作,并已顺利通过挂网试运行。展开更多
基金funded by the Bavarian State Ministry of ScienceResearch and Art(Grant number:H.2-F1116.WE/52/2)。
文摘The incremental capacity analysis(ICA)technique is notably limited by its sensitivity to variations in charging conditions,which constrains its practical applicability in real-world scenarios.This paper introduces an ICA-compensation technique to address this limitation and propose a generalized framework for assessing the state of health(SOH)of batteries based on ICA that is applicable under differing charging conditions.This novel approach calculates the voltage profile under quasi-static conditions by subtracting the voltage increase attributable to the additional polarization effects at high currents from the measured voltage profile.This approach's efficacy is contingent upon precisely acquiring the equivalent impedance.To obtain the equivalent impedance throughout the batteries'lifespan while minimizing testing costs,this study employs a current interrupt technique in conjunction with a long short-term memory(LSTM)network to develop a predictive model for equivalent impedance.Following the derivation of ICA curves using voltage profiles under quasi-static conditions,the research explores two scenarios for SOH estimation:one utilizing only incremental capacity(IC)features and the other incorporating both IC features and IC sampling.A genetic algorithm-optimized backpropagation neural network(GABPNN)is employed for the SOH estimation.The proposed generalized framework is validated using independent training and test datasets.Variable test conditions are applied for the test set to rigorously evaluate the methodology under challenging conditions.These evaluation results demonstrate that the proposed framework achieves an estimation accuracy of 1.04%for RMSE and 0.90%for MAPE across a spectrum of charging rates ranging from 0.1 C to 1 C and starting SOCs between 0%and 70%,which constitutes a major advancement compared to established ICA methods.It also significantly enhances the applicability of conventional ICA techniques in varying charging conditions and negates the necessity for separate testing protocols for each charging scenario.
文摘为将真空断路器应用于更高电压等级,多断口真空断路器的研究成为行业内的热点问题。在分析总结此前研究成果的基础上,设计了一种由3个光控真空断路器模块(FCVIM)串联组成的126 k V真空断路器。断路器按照U形方式串联光控真空断路器模块,光控真空断路器模块主要由外绝缘部件、真空灭弧室、均压电容、永磁操动机构及其控制器和操动电源等部分组成,在低电位通过光纤控制技术对工作于高电位的永磁操动机构进行控制。对三断口真空断路器和单断口真空断路器模块分别施加雷电冲击电压,结果显示三断口真空断路器相对单断口真空断路器的击穿电压增益倍数为1.59;在并联不同均压电容和人为制造三断口不同步分断情况下研究三断口真空断路器暂态电压分布特性,发现低分散性操动机构和均压电容的应用可以有效提高其开断能力。三断口真空断路器在额定电压下成功开断40 k A短路电流,在不同试验方式下完成重合闸操作,并已顺利通过挂网试运行。
