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Chapter and Conference Paper
State of Health Estimation of Lithium-Ion Battery Considering Random Charging
To address the problems of the random and incomplete charging process of the vehicle-mounted lithium-ion batteries, this paper proposes a machine learning method that can realize state of health (SOH) estimati...
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Chapter and Conference Paper
State of Health Estimation for Lithium-Ion Batteries Using Random Charging Data
Precise state of health (SOH) estimation is pivotal for reliable operations of lithium-ion batteries in electric vehicles. However, the collected charging data is usually incomplete, which makes it difficult t...
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Chapter and Conference Paper
Remaining Capacity Estimation for Lithium-Ion Batteries Based on Differential Temperature Curve and Hybrid Deep Learning Approach
Efficient and accurate prediction of battery remaining capacity can guarantee the safety and reliability of electric vehicles (EVs). However, battery capacity is difficult to measure directly due to complex ap...