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Lithium Battery Health and Capacity Estimation Techniques Using Embedded Electronics

Derek Heeger, Mike Partridge

2017enlithium batterieshealth estimationcapacity estimationembedded electronicsenergy storage

Abstract

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This report discusses advanced techniques for estimating the health and capacity of lithium batteries utilizing embedded electronics. The objective is to improve the reliability and accuracy of battery assessments in various applications, especially within energy systems. The methodology incorporates a combination of embedded sensors and data analytics to evaluate battery performance in real time, allowing for more effective monitoring and management. Results indicate that the proposed techniques significantly enhance the predictive capabilities for battery health and capacity, proving essential for ensuring optimal performance and longevity of lithium batteries in practical usage. This study aims to provide a foundational understanding and practical tools for stakeholders involved in battery management and development, enhancing their ability to respond to battery-related challenges effectively.

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Cite This Work

@article{477e113d-a83e-4bc3-8d38-411aa671e657,
  title={Lithium Battery Health and Capacity Estimation Techniques Using Embedded Electronics},
  author={Derek Heeger and Mike Partridge},
  year={2017},
  language={en}
}
TY  - JOUR
TI  - Lithium Battery Health and Capacity Estimation Techniques Using Embedded Electronics
AU  - Derek Heeger
AU  - Mike Partridge
PY  - 2017
LA  - en
ER  -

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