Adaptation of Deep Network in Transfer Learning for Estimating State of Health in Electric Vehicles during Operation
Battery state of health (SOH) is a significant metric for evaluating battery life and predicting battery safety. Currently, SOH research is largely based on laboratory data, with a dearth of research on electric vehicle (EV) operating data. Due to the difficulty in obtaining complete charge data und...
Main Authors: | Wenbin Zheng, Xinyu Zhou, Chenyu Bai, Di Zhou, Ping Fu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Batteries |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-0105/9/11/547 |
Similar Items
-
A method for state of charge and state of health estimation of lithium-ion battery based on adaptive unscented Kalman filter
by: Shulin Liu, et al.
Published: (2022-11-01) -
State-of-Health Prediction of Lithium-Ion Batteries Based on Diffusion Model with Transfer Learning
by: Chenqiang Luo, et al.
Published: (2023-04-01) -
Prediction of Li-ion battery state of health based on data-driven algorithm
by: Hanlei Sun, et al.
Published: (2022-11-01) -
Lithium-Ion Battery SOH Estimation Based on XGBoost Algorithm with Accuracy Correction
by: Shuxiang Song, et al.
Published: (2020-02-01) -
State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles under Dynamic Load Conditions
by: Ethelbert Ezemobi, et al.
Published: (2022-02-01)