Open Access
| Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
|---|---|---|
| Article Number | 06021 | |
| Number of page(s) | 14 | |
| Section | Agri-Food Transport and Logistics Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202346006021 | |
| Published online | 11 December 2023 | |
- M.A. Pashkevich, Assessment of areal air pollution in a megalopolis using geoinformation systems, Notes of the Mining Institute, 228, 738–742 (2017) DOI: 10.25515/PMI.2017.6.738 [Google Scholar]
- C. Rentea, M. Oprean, M. Băţăuş, G. Frăţilă, The influence of multi-speed transmissions on electric vehicles energy consumption, IOP Conference Series Materials Science and Engineering, 564 (1), 012107 (2019) DOI: 10.1088/1757-899X/564/1/012107. [CrossRef] [Google Scholar]
- J. Wu, C.-H. Zhang, N.-X. Cui, “Fuzzy energy management strategy for a hybrid electric vehicle based on driving cycle recognition,” International Journal of Automotive Technology, 13 (7), 1159–1167 (2012) https://doi.org/10.1007/s12239-012-0119-z. [CrossRef] [Google Scholar]
- A. Muravev, V. Shishkina, M. Potashnikov, Overview of methods for modeling driving cycles based on real-world traffic records, E3S Web of Conferences, 402 (2023) DOI: 10.1051/e3sconf/202340204001 [Google Scholar]
- R.M. Desineedi, S. Mahesh, G. Ramadurai, Developing driving cycles using k-means clustering and determining their optimal duration, WCTR 2019 Mumbai 26-31 May (2019) [Google Scholar]
- R. Madhuri Desineedi, S. Mahesh, G. Ramadurai, Developing driving cycles using k- means clustering and determining their optimal duration, WCTR 2019 Mumbai 26-31 May (2019) DOI: 10.1016/j.trpro.2020.08.268. [Google Scholar]
- M. Potashnikov, A. Muravev, A. Kartashov, N. Pikalov, S. Nazarenko, Improving the quality of the driving cycle by processing statistical data of vehicle movement, Bauman Moscow State Technical University, (to be published) [Google Scholar]
- Pegah Nouri, Catherine Morency, Evaluating Microtrip Definitions for Developing Driving Cycles, Transportation Research Record: Journal of the Transportation Research Board, 2627, 86–92 (2017) DOI: 10.3141/2627-10 [CrossRef] [Google Scholar]
- Jie Lin, Debbie A. Neimeier, An exploratory analysis comparing a stochastic driving cycle to California’s regulatory cycle, Atmospher ic Environment, 36, 5759–5770 (2002) DOI: 10.1016/S1352-2310(02)00695-7 [Google Scholar]
- Bo Zhu, Nong Zhang, Paul Walker, Xingxing Zhou, Wenzhang Zhan, Yueyuan Wei, Nanji Ke, Gear Shift Schedule Design for Multi-Speed Pure Electric Vehicles, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 229 (1) (2014) DOI: 10.1177/0954407014521395 [Google Scholar]
- Viet Dac Ngo, Theo Hofman, M. Steinbuch, Alex Serrarens, Gear shift map design methodology for automotive transmissions, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 228 (1) (2013) DOI: 10.1177/0954407013506698 [Google Scholar]
- D. V. Ngo, Gear shift strategies for automotive transmissions. Phd Thesis 1 (Research TU/e /Graduation TU/e), Mechanical Engineeringб Technische Universiteit Eindhoven (2012) DOI: 10.6100/IR735458. [Google Scholar]
- Xuefang Li, Boli Chen, Simos Evangelou, Optimized Design of Multi-Speed Transmissions for Parallel Hybrid Electric Vehicles, IFAC-PapersOnLine, 53 (2), 14147–14153 (2020) DOI: 10.1016/j.ifacol.2020.12.1024. [Google Scholar]
- C. Oglieve, M. Mohammadpour, H. Rahnejat, Optimisation of the vehicle transmission and the gear-shifting strategy for the minimum fuel consumption and the minimum nitrogen oxide emissions, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 231(1), 095440701770298 DOI: 10.1177/0954407017702985 [Google Scholar]
- S. Bai, J. Maguire, D. K. Kim, H. Peng. Dynamic programming based motor vehicle shift map generation. In Proceedings of the world automotive congress 2006 - FISITA 2006 (2006) [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.