Concepedia

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

Guijun Ma, Songpei Xu, Benben Jiang, Cheng Cheng, Xin Yang, Yue Shen, Tao Yang, Yunhui Huang, Han Ding, Ye Yuan

Energy & Environmental Science · 2022 · 247 citations · 45 references

Open access

Concepts

EngineeringData ScienceElectrochemical EngineeringMachine LearningPredictive AnalyticsBattery Cell ChemistryBattery SystemsDeep LearningElectrochemical Energy StorageEnergy StorageTransfer LearningBattery ChemistryBattery Health AssessmentBattery PrognosticsCharge-discharge CyclingLithium-ion BatteriesLithium-ion Battery ChemistryReal-time Health SensingState-of-health Estimation

Abstract

We have developed a high-performance deep transfer learning framework to predict the health status of lithium-ion batteries for each end-user at any charge–discharge cycle.

References

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