A Joint Estimation Method of SOC and SOH for Lithium-ion Battery Considering Cyber-Attacks Based on GA-BP
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Abstract
To improve the estimation accuracy of state of charge (SOC) and state of health (SOH) for lithium-ion batteries, in this paper, a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm (... | Find, read and cite all the research you need on Tech Science Press
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Research context
OpenAlex topics: Advanced Battery Technologies Research · Radiation Effects in Electronics · Fault Detection and Control Systems
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References (24)
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1. Systematic mixed adaptive observer and EKF approach to estimate SOC and SOH of lithium-ion battery10.1049/iet-est.2019.0033 ↗
2. A survey of cyber attacks on cyber physical systems: Recent advances and challenges10.1109/JAS.2022.105548 ↗
3. A comprehensive review study of cyber-attacks and cyber security; emerging trends and recent developments10.1016/j.egyr.2021.08.126 ↗
4. Lyapunov-based resilient cooperative control for DC microgrid clusters against false data injection cyber-attacks10.1109/TSG.2023.3332946 ↗
5. Impact assessment and defense for smart grids with FDIA against AMI10.1109/TNSE.2022.3197682 ↗
6. A distributed cyber-attack detection scheme with application to DC microgrids10.1109/TAC.2020.2982577 ↗
7. Secure MPC/ANN-based false data injection cyber-attack detection and mitigation in DC microgrids10.1109/JSYST.2021.3086145 ↗
8. Deep isolation forest for anomaly detection10.1109/TKDE.2023.3270293 ↗
9. Improved Ah integration method considering the operation state of battery
10. A multi-time scale joint state estimation method for lithium-ion batteries based on data-driven model fusion
11. Evaluation of SOC estimation method based on EKF/AEKF under noise interference10.1016/j.egypro.2018.09.204 ↗
12. A GRU-RNN based momentum optimized algorithm for SOC estimation10.1016/j.jpowsour.2020.228051 ↗
13. An online state of health prediction method for lithium batteries based on combination of data-driven and empirical model
14. The state of health estimation framework for lithium-ion batteries based on health feature extraction and construction of mixed model10.1149/1945-7111/ac0e4c ↗
15. State-of-health estimation based on differential temperature for lithium ion batteries10.1109/TPEL.2020.2978493 ↗
16. Multi-scale state joint estimation for lithium-ion battery
17. Joint estimation of the state of charge and the state of health based on deep learning for lithium-ion batteries
18. Birkl · Oxford Battery Degradation Dataset 1 · 2017
19. Remaining useful life prediction for lithium-Ion batteries based on a hybrid deep learning model
20. Extended isolation forest10.1109/TKDE.2019.2947676 ↗
21. State-of-health estimation of lithium-ion batteries using incremental capacity analysis based on voltage capacity model10.1109/TTE.2020.2994543 ↗
22. SOH estimation method for Li-ion battery based on ICA and Box-Cox transform
23. SOC estimation of lithium ion battery based on IGWO-BP neural network
24. Lithium battery capacity estimation method based on PCA and GA-BP neural network