Evaluation of Cell Inconsistency in Lithium-Ion Battery Pack Using the Autoencoder Network Model
Author:
Affiliation:
1. Mechanical Department, Lunghwa University of Science and Technology, Taoyuan City, Taiwan
2. Mechanical Department, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan
Funder
Ministry of Science and Technology, R. O. C.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10116046/09815501.pdf?arnumber=9815501
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1. A survey of machine-learning and nature-inspired based credit card fraud detection techniques
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4. A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening
5. A data-driven coulomb counting method for state of charge calibration and estimation of lithium-ion battery
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