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Qiao Peng
Qiao Peng
Lecturer in Information Technology, Queen's University Belfast
在 qub.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
A brief review on key technologies in the battery management system of electric vehicles
K Liu, K Li, Q Peng, C Zhang
Frontiers of mechanical engineering 14, 47-64, 2019
5392019
Multi-objective optimization of charging patterns for lithium-ion battery management
K Liu, K Li, H Ma, J Zhang, Q Peng
Energy Conversion and Management 159, 151-162, 2018
942018
Data‐Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management
K Liu, K Li, Q Peng, Y Guo, L Zhang
Complexity 2018 (1), 9642892, 2018
822018
Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects
K Liu, Q Peng, Y Che, Y Zheng, K Li, R Teodorescu, D Widanage, A Barai
Advances in Applied Energy 9, 100117, 2023
572023
A transferred recurrent neural network for battery calendar health prognostics of energy-transportation systems
K Liu, Q Peng, H Sun, M Fei, H Ma, T Hu
IEEE Transactions on Industrial Informatics 18 (11), 8172-8181, 2022
452022
An improved neural network model for battery smarter state-of-charge estimation of energy-transportation system
B Fu, W Wang, Y Li, Q Peng
Green Energy and Intelligent Transportation 2 (2), 100067, 2023
222023
Comprehensive study and improvement of experimental methods for obtaining referenced battery state-of-power
X Tang, K Liu, Q Liu, Q Peng, F Gao
Journal of Power Sources 512, 230462, 2021
222021
Knowledge-guided data-driven model with transfer concept for battery calendar ageing trajectory prediction
K Liu, Q Peng, R Teodorescu, AM Foley
IEEE/CAA Journal of Automatica Sinica 10 (1), 272-274, 2023
182023
Data-based interpretable modeling for property forecasting and sensitivity analysis of Li-ion battery electrode
K Liu, Q Peng, K Li, T Chen
Automotive Innovation 5 (2), 121-133, 2022
172022
Enabling extreme fast charging
T Zhu, A Cruden, Q Peng, K Liu
Joule 7 (12), 2660-2662, 2023
112023
Analysing the effect of energy intensity on carbon emission reduction in Beijing
G Li, S Zeng, T Li, Q Peng, M Irfan
International Journal of Environmental Research and Public Health 20 (2), 1379, 2023
112023
Generation planning for power companies with hybrid production technologies under multiple renewable energy policies
Q Peng, W Liu, Y Zhang, S Zeng, B Graham
Renewable and Sustainable Energy Reviews 176, 113209, 2023
102023
Capacities prediction and correlation analysis for lithium-ion battery-based energy storage system
Y Wang, W Li, R Fang, H Zhu, Q Peng
Control Engineering Practice 125, 105224, 2022
102022
Understanding of Lithium-ion battery degradation using multisine-based nonlinear characterization method
C Fan, K Liu, T Zhu, Q Peng
Energy 290, 130230, 2024
72024
Characterization and identification towards dynamic-based electrical modeling of lithium-ion batteries
C Fan, K Liu, Y Ren, Q Peng
Journal of Energy Chemistry 92, 738-758, 2024
62024
Battery calendar degradation trajectory prediction: Data-driven implementation and knowledge inspiration
Q Peng, W Li, M Fowler, T Chen, W Jiang, K Liu
Energy 294, 130849, 2024
62024
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Q Peng, Y Bakkar, L Wu, W Liu, R Kou, K Liu
Transportation Research Part A: Policy and Practice 179, 103947, 2024
62024
Multi-objective electricity generation expansion planning towards renewable energy policy objectives under uncertainties
Q Peng, W Liu, Y Shi, Y Dai, K Yu, B Graham
Renewable and Sustainable Energy Reviews 197, 114406, 2024
42024
A Hybrid Data-Driven Method to Predict Battery Capacity of Medical Devices and Analyze Component Effects
R Fang, C Liao, H Quan, L Zeng, Q Peng
Frontiers in Energy Research 10, 928250, 2022
32022
The Impact of Green Technology Research and Development (R&D) Investment on Performance: A Case Study of Listed Energy Companies in Beijing, China
P Song, Y Gu, B Su, A Tanveer, Q Peng, W Gao, S Wu, S Zeng
Sustainability 15 (16), 12370, 2023
22023
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