Tang HL, Cao XJ and Zhang RY, Evaluation model of new energy vehicle teaching effect based on artificial intelligence, HKIE Transactions, Vol. 31, No. 3 (Theme Issue), Article THIE-2024-0026, 2025, 10.33430/V31N3THIE-2024-0026
As a compulsory course, the new energy vehicle course should be reformed in regard to the teaching methods and content. This paper summarises the characteristics of this course based on the author's practice. This project studies the new energy vehicle teaching cloud evaluation method based on a big data environment. The reverse cloud generator and cloud synthesis algorithm are used to build a new energy vehicle teaching evaluation system. Secondly, based on determining the weight cloud of the teaching evaluation index and task weight cloud, the cloud computing rules are used to generate the singletask teaching evaluation cloud and the multi-task complex teaching evaluation cloud, respectively. The complex teaching choices are evaluated and optimised. An example shows that the proposed algorithm is practical and reasonable. This paper's research results will help evaluate the quality of education more comprehensively and promote the smooth progress of education reform.
Keywords:
Big data; cloud computing; new energy vehicles; reverse cloud generator; educational assessment; educational reform
Reference List:
Abbasi K, Jiao Z, Sh Hsu CC, Quang-Thanh N, Chien F, Li L and Mohsin M (2021). Evaluating green innovation and performance of financial development: mediating concerns of environmental regulation. Environmental Science and Pollution Research, 28(40), pp. 57386-57397.
Abbasi K, Jiao Z, Shahbaz M and Khan A (2020). Asymmetric impact of renewable and nonrenewable energy on economic growth in Pakistan: New evidence from a nonlinear analysis. Energy Exploration & Exploitation, 38(5), pp. 1946-1967.
Adaikkappan M and Sathiyamoorthy N (2022). Modeling, state of charge estimation, and charging of lithium-ion battery in electric vehicle: a review. International Journal of Energy Research, 46(3), pp. 2141-2165.
Ahmadian A, Mohammadi-Ivatloo B and Elkamel A (2020). A review on plug-in electric vehicles: Introduction, current status, and load modeling techniques. Journal of Modern Power Systems and Clean Energy, 8(3), pp. 412-425.
Ali MU, Gong Z, Ali MU, Wu X and Yao C (2021). Fossil energy consumption, economic development, inward FDI impact on CO2 emissions in Pakistan: testing EKC hypothesis through ARDL model. International Journal of Finance & Economics, 26(3), pp. 3210-3221.
Basit MA, Dilshad S, Badar R and Sami ur Rehman SM (2020). Limitations, challenges, and solution approaches in grid-connected renewable energy systems. International Journal of Energy Research, 44(6), pp. 4132-4162.
Chen L, Msigwa G, Yang M, Osman AI, Fawzy S, Rooney DW and Yap PS (2022). Strategies to achieve a carbon neutral society: a review. Environmental Chemistry Letters, 20(4), pp. 2277-2310.
Chien F, Zhang Y, Sadiq M and Hsu CC (2022). Financing for energy efficiency solutions to mitigate opportunity cost of coal consumption: An empirical analysis of Chinese industries. Environmental Science and Pollution Research, 29(2), pp. 2448-2465.
Cooper G (2023). Examining science education in chatgpt: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), pp. 444-452.
Ghasemy M, Teeroovengadum V, Becker JM and Ringle CM (2020). This fast car can move faster: A review of PLS-SEM application in higher education research. Higher education, 80(6), pp. 1121-1152.
Godil DI, Yu Z, Sharif A, Usman R and Khan SAR (2021). Investigate the role of technology innovation and renewable energy in reducing transport sector CO2 emission in China: a path toward sustainable development. Sustainable Development, 29(4), pp. 694-707.
He W, Abbas Q, Alharthi M, Mohsin M, Hanif I, Vo X and Taghizadeh-Hesary F (2020). Integration of renewable hydrogen in light-duty vehicle: nexus between energy security and low carbon emission resources. International Journal of Hydrogen Energy, 45(51), pp. 27958-27968.
Hosseini SM, Carli R and Dotoli M (2020). Robust optimal energy management of a residential microgrid under uncertainties on demand and renewable power generation. IEEE Transactions on Automation Science and Engineering, 18(2), pp. 618-637.
How, D. N., Hannan, M. A., Lipu, M. S. H., Sahari, K. S., Ker, P. J., and Muttaqi, K. M. (2020). State-ofcharge estimation of li-ion battery in electric vehicles: A deep neural network approach. IEEE Transactions on Industry Applications, 56(5), pp. 5565-5574.
Husin H and Zaki M (2021). A critical review of the integration of renewable energy sources with various technologies. Protection and Control of Modern Power Systems, 6(1), pp. 1-18.
Inderwildi O, Zhang C, Wang X and Kraft M (2020). The impact of intelligent cyber-physical systems on the decarbonisation of energy. Energy and Environmental Science, 13(3), pp. 744-771.
Khurana A, Kumar VR and Sidhpuria M (2020). A study on the adoption of electric vehicles in India: the mediating role of attitude. Vision, 24(1), pp. 23-34.
Li D, Zhang Z, Liu P, Wang Z and Zhang L (2020). Battery fault diagnosis for electric vehicles based on voltage abnormality by combining the long short-term memory neural network and the equivalent circuit model. IEEE Transactions on Power Electronics, 36(2), pp. 1303-1315.
Murshed M (2020). An empirical analysis of the nonlinear impacts of ICT-trade openness on renewable energy transition, energy efficiency, clean cooking fuel access and environmental sustainability in South Asia. Environmental Science and Pollution Research, 27(29), pp. 36254-36281.
Shahzad U (2020). Environmental taxes, energy consumption, and environmental quality: Theoretical survey with policy implications. Environmental Science and Pollution Research, 27(20), pp. 24848-24862.
Wei Z, Dong G, Zhang X, Pou J, Quan Z and He H (2020). Noise-immune model identification and stateof-charge estimation for lithium-ion battery using bilinear parameterization. IEEE Transactions on Industrial Electronics, 68(1), pp. 312-323.
Wolske KS, Gillingham KT and Schultz PW (2020). Peer influence on household energy behaviours. Nature Energy, 5(3), pp. 202-212.
Wu J, Wei Z, Li W, Wang Y, Li Y and Sauer DU (2020). Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm. IEEE Transactions on Industrial Informatics, 17(6), pp. 3751-3761.
Zhao L, Zhang Y, Sadiq M, Hieu VM and Ngo TQ (2023). Testing green fiscal policies for green investment, innovation and green productivity amid the COVID-19 era. Economic Change and Restructuring, 56(5), pp. 2943-2964.
