Open Access
| Issue |
EPJ Web Conf.
Volume 343, 2025
1st International Conference on Advances and Innovations in Mechanical, Aerospace, and Civil Engineering (AIMACE-2025)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 10 | |
| Section | Advances in Mechanical Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534301008 | |
| Published online | 19 December 2025 | |
- G. Aswani, V. S. Bhadoria and J. Singh, "Electric Vehicles In India: Opportunities and Challenges," 2018 International Conference on Automation and Computational Engineering (ICACE), Greater Noida, India, 2018, pp. 65–71, 10.1109/ICACE.2018.8687043. [Google Scholar]
- S. Goel, R. Sharma and A. K. Rathore, "A review on barrier and challenges of electric vehicle in India and vehicle to grid optimisation," Transportation Engineering, vol. 4, p. 100057, 2021, doi: 10.1016/j.treng.2021.100057. [CrossRef] [Google Scholar]
- C. Chandrashekar, P. Agrawal, P. Chatterjee and D. S. Pawar, "Development of E-rickshaw driving cycle (ERDC) based on micro-trip segments using random selection and K-means clustering techniques," IATSS Research, vol. 45, no. 4, pp. 551–560, 2021, doi: 10.1016/j.iatssr.2021.07.001. [Google Scholar]
- P. Nyberg, E. Frisk and L. Nielsen, "Using real-world driving databases to generate driving cycles with equivalence properties," IEEE Transactions on Vehicular Technology, vol. 65, no. 6, pp. 4095–4105, Jun. 2016, doi: 10.1109/TVT.2015.2502069. [Google Scholar]
- K. Patil, N. K. Nagwani and S. Tripathi, "A Parametric Study of Partitioning and Density Based Clustering Techniques for Boxplot Generation," 2018 3rd International Conference for Convergence in Technology (I2CT), Pune, India, 2018, pp. 1–5, doi: 10.1109/I2CT.2018.8529468. [Google Scholar]
- F. Chen et al., "A Novel Method of Developing Driving Cycle for Electric Vehicles to Evaluate the Private Driving Habits," in IEEE Access, vol. 9, pp. 46476–46486, 2021, doi: 10.1109/ACCESS.2021.3049411 [Google Scholar]
- X. Zhao, X. Zhao, Q. Yu, Y. Ye and M. Yu, "Development of a representative urban driving cycle construction methodology for electric vehicles: A case study in Xi'an," Transportation Research Part D: Transport and Environment, vol. 81, p. 102279, 2020, doi: 10.1016/j.trd.2020.102279. [Google Scholar]
- N. Kumaresan and A. Rammohan, "Modeling and performance analysis of an electric two-wheeler on various driving cycles and validation using a performance real-time target machine," Journal of Energy Storage, vol. 101, p. 113935, 2024, doi: 10.1016/j.est.2024.113935. [Google Scholar]
- X. Yuan, C. Zhang, G. Hong, X. Huang and L. Li, "Method for evaluating the real-world driving energy consumptions of electric vehicles," Energy, vol. 141, pp. 1955–1968, 2017, doi: 10.1016/j.energy.2017.11.134. [CrossRef] [Google Scholar]
- M. Etxandi-Santolaya, L. Canals Casals and C. Corchero, "Estimation of electric vehicle battery capacity requirements based on synthetic cycles," Transportation Research Part D: Transport and Environment, vol. 114, p. 103545, 2023, doi: 10.1016/j.trd.2022.103545. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.