Battery States Co-estimation Methodology Using Dual Square Root Unscented Kalman Filter-Reference-Cited by-同舟云学术

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Battery States Co-estimation Methodology Using Dual Square Root Unscented Kalman Filter

Published:2023-05-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Sahu Souris¹,Dutt Rashi¹,Acharyya Amit¹

Affiliation:

1. IIT Hyderabad,AESICD Laboratory,Telangana,India,502285

Funder

Defence Research and Development Organisation

Ministry of Defence, Govt. of India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181678.pdf?arnumber=10181678

Reference25 articles.

1. Multi-Objective Optimal Charging Method for Lithium-Ion Batteries

2. State of charge and parameters estimation for Lithium-ion battery using dual adaptive unscented Kalman filter

3. Kalman filter for onboard state of charge estimation and peak power capability analysis of lithium-ion batteries

4. Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

5. Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach

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1. Research on Digital Calibration of Voltage Measurement for Automotive Battery Management Systems;2024 13th International Conference on Communications, Circuits and Systems (ICCCAS);2024-05-10

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