Ji Wu

Orcid: 0000-0003-3320-3704

Affiliations:
  • 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 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Instantaneous Energy Consumption Estimation for Electric Buses With a Multi-Model Fusion Method.
IEEE Trans. Intell. Transp. Syst., January, 2025

Health status estimation of Lithium-ion battery under arbitrary charging voltage information using ensemble learning framework.
Reliab. Eng. Syst. Saf., 2025

2024
State of Charge Estimation of the Lithium-Ion Power Battery Based on a Multi-Time-Scale Improved Adaptive Unscented Kalman Filter.
IEEE Trans. Instrum. Meas., 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

Lithium-ion battery state of health estimation using a hybrid model with electrochemical impedance spectroscopy.
Reliab. Eng. Syst. Saf., 2024

Health prognosis via feature optimization and convolutional neural network for lithium-ion batteries.
Eng. Appl. Artif. Intell., 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

Screening of retired batteries with gramian angular difference fields and ConvNeXt.
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

Screening Indicators Analysis for the Echelon Utilization of Lithium-ion Batteries.
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


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