Research output per year
Research output per year
Research output
- 10 Article
- 10 results
Search results
-
2023
Analysing the effect of energy intensity on carbon emission reduction in Beijing
Li, G., Zeng, S., Li, T., Peng, Q. & Irfan, M., 12 Jan 2023, In: International Journal of Environmental Research and Public Health. 20, 2, 1379.Research output: Contribution to journal › Article › peer-review
Open AccessFile28 Downloads (Pure) -
An improved neural network model for battery smarter state-of-charge estimation of energy-transportation system
Fu, B., Wang, W., Li, Y. & Peng, Q., Apr 2023, In: Green Energy and Intelligent Transportation. 2, 2, 100067.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
An intelligent preheating approach based on high-gain control for lithium-ion batteries in extremely cold environment
Shang, Y., Chen, G., Peng, Q., Zhu, T. & Liu, K., 26 Jun 2023, (Early online date) In: IEEE Transactions on Industrial Electronics. 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Generation planning for power companies with hybrid production technologies under multiple renewable energy policies
Peng, Q., Liu, W., Zhang, Y., Zeng, S. & Graham, B., Apr 2023, In: Renewable and Sustainable Energy Reviews. 176, 15 p., 113209.Research output: Contribution to journal › Article › peer-review
Open AccessFile37 Downloads (Pure) -
Knowledge-guided data-driven model with transfer concept for battery calendar ageing trajectory prediction
Liu, K., Peng, Q., Teodorescu, R. & Foley, A. M., 06 Jan 2023, In: IEEE/CAA Journal of Automatica Sinica. 10, 1, p. 272-274 3 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure) -
The impact of green technology research and development (R&D) investment on performance: a case study of listed energy companies in Beijing, China
Song, P., Gu, Y., Su, B., Tanveer, A., Peng, Q., Gao, W., Wu, S. & Zeng, S., 14 Aug 2023, In: Sustainability. 15, 16, 12370.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects
Liu, K., Peng, Q., Che, Y., Zheng, Y., Li, K., Teodorescu, R., Widanage, D. & Barai, A., Feb 2023, In: Advances in Applied Energy. 9, 100117.Research output: Contribution to journal › Article › peer-review
Open AccessFile46 Downloads (Pure) -
2022
A transferred recurrent neural network for battery calendar health prognostics of energy-transportation systems
Liu, K., Peng, Q., Sun, H., Fei, M., Ma, H. & Hu, T., Nov 2022, In: IEEE Transactions on Industrial Informatics. 18, 11, p. 8172-8181 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile77 Downloads (Pure) -
Capacities prediction and correlation analysis for lithium-ion battery-based energy storage system
Wang, Y., Weidong, L., Fang, R., Zhu, H. & Peng, Q., 01 Aug 2022, In: Control Engineering Practice. 125, 105224.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Downloads (Pure) -
Data-based interpretable modeling for property forecasting and sensitivity analysis of Li-ion battery electrode
Liu, K., Peng, Q., Li, K. & Chen, T., Apr 2022, In: Automotive Innovation. 5, p. 121–133Research output: Contribution to journal › Article › peer-review
Open AccessFile27 Downloads (Pure)