Dr James Cugley
| Name | Dr James Cugley |
|---|---|
| Job title | Senior Lecturer in Applied Engineering |
| Research institute | School of Engineering, Technology and Design |
Research outputs
Adaptive SOC estimation for lithium-ion batteries using cluster-based deep learning models ccross diverse temperatures
Al-Alawi, M. K, Cugley, J., Hassanin, H. and Jaddoa, A. 2024. Adaptive SOC estimation for lithium-ion batteries using cluster-based deep learning models ccross diverse temperatures.A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection
Al-Alawi, M., Jaddoa, A., Cugley, J. and Hassanin, H. 2024. A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection. Journal of Energy Storage. 97 (B), p. 112866. https://doi.org/10.1016/j.est.2024.112866Advancing safety and efficiency in critical infrastructure with a novel SOC estimation for battery storage systems: A focus on second life batteries
Al-Alawi, M., Cugley, J., Jaddoa, A. and Hassanin, H. 2024. Advancing safety and efficiency in critical infrastructure with a novel SOC estimation for battery storage systems: A focus on second life batteries.Embracing sustainable farming: Unleashing the circular economy potential of second-life EV batteries in agricultural applications
Al-Alawi, M., Cugley, J. and Hassanin, H. 2023. Embracing sustainable farming: Unleashing the circular economy potential of second-life EV batteries in agricultural applications.Using second-life batteries and solar power to help farms become energy efficient.
Al-Alawi, M., Cugley, J. and Hassanin, H. 2023. Using second-life batteries and solar power to help farms become energy efficient. Canterbury Christ Church University.Advanced flame monitoring and emission prediction through digital imaging and spectrometry
Cugley, J. 2019. Advanced flame monitoring and emission prediction through digital imaging and spectrometry. PhD Thesis University of Kent School of Engineering and Digital ArtsTechno-economic feasibility of retired electric-vehicle batteries repurpose/reuse in second-life applications: A systematic review
Hassanin, H., Al-Alawi, M. and Cugley, J. 2022. Techno-economic feasibility of retired electric-vehicle batteries repurpose/reuse in second-life applications: A systematic review. Energy and Climate Change. 3 (100086). https://doi.org/10.1016/j.egycc.2022.100086Planning, operation, and design of market-based virtual power plant considering uncertainty
Hassanin, H., Ullah, Z., Arshad, Cugley, J. and Al-Alawi, M. 2022. Planning, operation, and design of market-based virtual power plant considering uncertainty. Energies. 19 (15), p. 7290. https://doi.org/10.3390/en15197290How oviform is the chicken egg? New mathematical insight into the old oomorphological problem
Valeriy G. Narushin, Darren K. Griffin, James Cugley, Michael N. Romanov and Gang Lu 2021. How oviform is the chicken egg? New mathematical insight into the old oomorphological problem. Food Control. 119 (107484). https://doi.org/10.1016/j.foodcont.2020.107484Digital imaging assisted geometry of chicken eggs using Hügelschäffer's model
Valeriy G. Narushin, Michael N. Romanov, Gang Lu, James Cugkey and Darren K. Griffin 2020. Digital imaging assisted geometry of chicken eggs using Hügelschäffer's model. Biosystems Engineering. 197, pp. 45-55. https://doi.org/10.1016/j.biosystemseng.2020.06.008A 2-D imaging-assisted geometrical transformation method for non- destructive evaluation of the volume and surface area of avian eggs
Valeriy G. Narushin, Gang Lu, Cugley, J., Michael N. Romanov and Darren K. Griffin 2020. A 2-D imaging-assisted geometrical transformation method for non- destructive evaluation of the volume and surface area of avian eggs. Food Control. 112 (107112). https://doi.org/10.1016/j.foodcont.2020.107112936
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