A conditional generative adversarial network-based synthetic data augmentation technique for battery state-of-charge estimation

Author:

Qiu Xianghui,Wang ShuangfengORCID,Chen Kai

Funder

National Natural Science Foundation of China

South China University of Technology

Publisher

Elsevier BV

Subject

Software

Reference32 articles.

1. A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations;Hannan;Renew. Sustain. Energy Rev.,2017

2. Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends;Hossain Lipu;J. Clean. Prod.,2020

3. State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review;How;IEEE Access,2019

4. Improved battery SOC estimation accuracy using a modified UKF with an adaptive cell model under real EV operating conditions;Din;IEEE Trans. Transp. Electrif.,2018

5. State of charge estimation of lithium-ion batteries based on cubature Kalman filters with different matrix decomposition strategies;Tian;Energy,2022

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