Modelling of energy recovery from braking in vehicle drive systems
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MNiSW
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spoza wykazu
| Status: | |
| Autorzy: | Kozłowski Edward, Zimakowska-Laskowska Magdalena, Šnauko Boris, Wiśniowski Piotr |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Elektroniczna |
| Język: | angielski |
| Strony: | 629 - 636 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 24th International Scientific Conference Engineering for Rural Development |
| Skrócona nazwa konferencji: | 24th ISC ERDev |
| URL serii konferencji: | LINK |
| Termin konferencji: | 21 maja 2025 do 21 maja 2025 |
| Miasto konferencji: | Jelgava |
| Państwo konferencji: | ŁOTWA |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 23 maja 2025 |
| Abstrakty: | angielski |
| Technology development requires searching for new solutions that improve the energy efficiency of commercial vehicles used in rural areas. The article presents a comprehensive approach to analysing and modelling energy recovery in drive systems that can be used in agricultural vehicles such as tractors and combines and other agricultural machines. The research included developing mathematical models that consider vehicle dynamics, such as speed, acceleration and energy recovery during braking (recuperation). Based on linear regression, KNN algorithms and neural networks, these models allow for estimating the amount of recovered energy in various operating states, such as acceleration, braking or driving at a constant speed. Statistical analysis confirmed the significance of the impact of key parameters, such as speed and acceleration intensity, on recuperation efficiency. The research results indicate that implementing advanced energy management strategies in vehicles can contribute to reducing fuel consumption and greenhouse gas emissions. Energy recovery during braking is significant in machines performing cyclical tasks, such as transporting crops or field work on uneven terrain. Examples indicate that energy recovery can be optimised by better matching vehicle operating parameters, which is crucial in reducing farm operating costs. The proposed technological solutions and predictive models support energy efficiency and sustainable development in the agricultural sector. The possibility of integrating these solutions with autonomous vehicles and agricultural fleet management systems opens prospects for further technological progress. This research contributes to developing ecological and energy-saving technologies that support modern agriculture and its transformation towards a low-emission economy. |
