磷酸铁锂电池的低温性能修复方法

By acquiring information on low-temperature application scenarios and historical operating data of lithium iron phosphate batteries, dynamic optimization and twin simulation are performed to construct performance evaluation indicators and repair strategies. This solves the problem of lack of scenario adaptability in low-temperature performance optimization of lithium iron phosphate batteries and improves the stability and performance recovery efficiency of batteries in low-temperature environments.

CN121507156BActive Publication Date: 2026-07-17RUICHI NEW ENERGY (XUZHOU) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
RUICHI NEW ENERGY (XUZHOU) CO LTD
Filing Date
2025-11-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The performance optimization of lithium iron phosphate batteries in low-temperature environments lacks scenario adaptability, and the performance evaluation and repair management are disconnected, resulting in poor operational stability and low performance recovery efficiency.

Method used

By acquiring information on the low-temperature application scenarios of the target lithium iron phosphate battery, dynamic optimization of the battery is performed, and a battery structure optimization parameter system is constructed. Low-temperature twin simulation is performed using the battery historical low-temperature operation dataset collected by the BMS to generate a battery low-temperature operation twin. Low-temperature performance evaluation indicators of the battery are constructed, predictive performance parameters of low-temperature operation of the battery are generated, and repair strategy analysis is performed to construct a battery low-temperature performance repair strategy scheme library to realize battery operation control.

Benefits of technology

It enables precise intervention throughout the entire process of low-temperature performance of lithium iron phosphate batteries, improving the battery's operational stability and performance recovery efficiency in low-temperature scenarios.

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Abstract

本发明公开了磷酸铁锂电池的低温性能修复方法,涉及电池性能修复技术领域,包括:获取目标磷酸铁锂电池的低温应用场景信息,进行电池动态优化,得到电池结构优化参数体系;进行低温孪生仿真,生成电池低温运行孪生体;构建电池低温性能评估指标,生成电池低温运行预测性能参数;进行修复策略分析,构建电池低温性能修复策略方案库,进行电池运行控制。本发明解决了现有技术存在磷酸铁锂电池低温性能优化缺乏场景适配性,性能评估与修复管控脱节,导致低温下运行稳定性差和性能恢复效率低的技术问题,达到了实现磷酸铁锂电池低温性能的全流程精准干预,提高了电池在低温场景下的运行稳定性与性能恢复效率的技术效果。
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