Adversarial defense for battery state-of-health prediction models
This study addresses the challenge of state of health (SOH) estimation for lithium-ion batteries using a generative graphical approach under adversarial conditions. We analyze the impact of adversarial data poisoning attacks on SOH prediction models, specifically employing the fast gradient sign met...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959525000451 |
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