The Weighted Iterative Algorithms for State of Health Estimation Using Volterra Series Model: Least Squares Algorithm and Gradient Descent Algorithm
The state of health (SOH) can usually be described by an exponential model. Traditional least squares and gradient descent algorithms are inefficient for such a special model. In this paper, a Volterra series model is used to approximate the exponential SOH model, where some of the collected data ar...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10980317/ |
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