Ji Wu
Orcid: 0000-0003-3320-3704Affiliations:
- Hefei University of Technology, School of Automotive and Transportation Engineering, China
- University of Science and Technology of China, Department of Automation, Hefei, China (PhD 2018)
According to our database1,
Ji Wu
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Battery Health Prognosis Based on Sliding Window Sampling of Charging Curves and Independently Recurrent Neural Network.
IEEE Trans. Instrum. Meas., 2024
State of Charge Estimation for Lithium-Ion Batteries at Various Temperatures by Extreme Gradient Boosting and Adaptive Cubature Kalman Filter.
IEEE Trans. Instrum. Meas., 2024
An Ultrasonic Reflected Wave-Based Method for Estimating State of Charge of Hard-Shell Lithium-Ion Batteries.
IEEE Trans. Instrum. Meas., 2024
Data-Driven Transfer-Stacking-Based State of Health Estimation for Lithium-Ion Batteries.
IEEE Trans. Ind. Electron., 2024
2023
Multi-Feature Fusion-Based Instantaneous Energy Consumption Estimation for Electric Buses.
IEEE CAA J. Autom. Sinica, October, 2023
Data-Driven State of Charge Estimation for Power Battery With Improved Extended Kalman Filter.
IEEE Trans. Instrum. Meas., 2023
Battery health prognosis with gated recurrent unit neural networks and hidden Markov model considering uncertainty quantification.
Reliab. Eng. Syst. Saf., 2023
Eng. Appl. Artif. Intell., 2023
2022
Cross-Entropy based Feature Selection for Lithium-ion Battery State of Health Estimation.
Proceedings of the 10th International Conference on Systems and Control, 2022
Proceedings of the 10th International Conference on Systems and Control, 2022
2020
Ant Colony Particle Filter Based State of Energy Estimation Method for Lithium-ion Batteries.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020
2019
A Novel Estimation Method for the State of Health of Lithium-Ion Battery Using Prior Knowledge-Based Neural Network and Markov Chain.
IEEE Trans. Ind. Electron., 2019
2018
Energy Management Strategy for Grid-Tied Microgrids Considering the Energy Storage Efficiency.
IEEE Trans. Ind. Electron., 2018