Integrated Approach Based on Dual Extended Kalman Filter and Multivariate Autoregressive Model for Predicting Battery Capacity Using Health Indicator and SOC/SOH
To enhance the efficiency of an energy storage system, it is important to predict and estimate the battery state, including the state of charge (SOC) and state of health (SOH). In general, the statistical approaches for predicting the battery state depend on historical data measured via experiments....
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/9/2138 |