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中国化学会第三届中国能源材料化学研讨会

作者： Rui Xiong Jindong Li Yawen Xue Mengru Xie Xu Wu 浙江省天能集团武汉市华中科技大学

lead-acid batteries have been contributing to energy storage since they were invented,and today they still occupy an important position in the battery industry.However,due to the special process and operating conditions of lead-acid batteries,their failure is also a major problem that plagues people.Studying the failure mechanism of lead-acid batteries is of great significance for improving lead-acid battery manufacturing technology and promoting the development of the energy industry.The failure of lead-acid batteries is mainly concentrated on softening of the positive plate,sulphation of the negative plate,corrosion of the grid,acid stratification and selfdischarge.The investigation of these failure modes,especially softening of the positive electrode plate—the most complicated one,has been the focus of the industry.The in-situ electrochemical analysis methods of lead-acid batteries,including in-situ XRD and in-situ AFM spectating techniques,will do good to the research of battery failure mechanisms.

关键词： lead-acid batteries failure mechanisms in-situ electrochemical spectating technologies

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PSO-LSSVM-based Online SOC Estimation for Simulation Substation Battery

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Structural Durability & Health Monitoring 2022年第1期16卷 37-51页

作者： Qiang Zhang Xianguang Zha Jun Wu Liang Zhang Wei Dai Gang Ren Shiqian Li Ning Ji Xiangjun Zhu Fengwei Tian State Grid Jiangsu Electric Power Co. Ltd.Nanjing210024China State Grid Jiangsu Electric Power Company Research Institute Nanjing211103China Technican Training Center of State Grid Jiangsu Electric Power Co. Ltd.Suzhou215004China

As the emergency power supply for a simulation substation,lead-acid batteries have a work pattern featuring noncontinuous operation,which leads to capacity regeneration.However,the accurate estimation of battery state of charge(SOC),a measurement of the amount of energy available in a battery,remains a hard nut to crack because of the non-stationarity and randomness of battery capacity change.This paper has proposed a comprehensive method for lead-acid battery SOC estimation,which may aid in maintaining a reasonable charging schedule in a simulation substation and improving battery’s durability.Based on the battery work pattern,an improved Ampere-hour method is used to calculate the SOC during constant current and constant voltage(CC/CV)charging and discharging.In addition,the combined Particle Swarm Optimization(PSO)and Least Squares Support Vector Machine(LSSVM)model is used to estimate the SOC during non-CC discharging.Experimental results show that this method is workable in online SOC estimation of working batteries in a simulation substaion,with the maximum relative error standing at only 2.1%during the non-training period,indicating a high precision and wide applicability.

关键词： Simulation substation lead-acid batteries SOC PSO LSSVM

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