Опубликована: Сен. 18, 2024
Язык: Английский
Опубликована: Сен. 18, 2024
Язык: Английский
Archives of Computational Methods in Engineering, Год журнала: 2025, Номер unknown
Опубликована: Янв. 3, 2025
Язык: Английский
Процитировано
5IEEE Transactions on Vehicular Technology, Год журнала: 2024, Номер 73(8), С. 11082 - 11096
Опубликована: Март 1, 2024
Electric vehicles (EVs) experience rapid battery degradation due to high peak power during acceleration and deceleration, followed by subsequent charging discharging cycles urban drive. To meet the high-power demands mitigate degradation, EVs are equipped with larger-sized energy storage systems (ESS) results in increasing their cost reducing overall efficiency. Battery supercapacitor (SC) powered hybrid ESS (HESS), offers an appealing solution overcome limitations of standalone (BESS). Real-time sharing among sources HESS achieve satisfactory mileage cycle life is a significant challenge when optimizing management dimensioning HESS. However, these problems, integrated optimization approach proposed using non-dominated sorting genetic algorithm III (NSGA-III) fuzzy logic-based control (FLC) strategy. In process deriving optimal configuration for HESS, capacity identified based on required minimum range. Moreover, arrangement SC module derived minimizing loss, mass, financial over vehicle lifetime. comparison (HP) BESS, optimized governed EM technique can prolong battery's 72.8% 76.38%, as well remarkable reductions cost-to-range ratio up 37.5% 42.14% following standard US06 Urban Dynamometer Driving Schedule (UDDS) routes, respectively. Involvement resulted substantial 34.3% reduction mass compared HP BESS. This study further demonstrates that appropriately tuned fuzzy-logic method, which be seamlessly into realtime, exhibits superior performance basic rule-based
Язык: Английский
Процитировано
10Energy Nexus, Год журнала: 2025, Номер unknown, С. 100391 - 100391
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2International Journal of Electrical Power & Energy Systems, Год журнала: 2024, Номер 161, С. 110200 - 110200
Опубликована: Авг. 28, 2024
Язык: Английский
Процитировано
6Journal of Energy Storage, Год журнала: 2024, Номер 108, С. 115021 - 115021
Опубликована: Дек. 19, 2024
Язык: Английский
Процитировано
6Journal of Energy Storage, Год журнала: 2024, Номер 100, С. 113352 - 113352
Опубликована: Сен. 18, 2024
Язык: Английский
Процитировано
5Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Янв. 26, 2024
Язык: Английский
Процитировано
3Journal of Energy Storage, Год журнала: 2024, Номер 99, С. 113344 - 113344
Опубликована: Авг. 19, 2024
Язык: Английский
Процитировано
3Journal of Energy Storage, Год журнала: 2024, Номер 104, С. 114317 - 114317
Опубликована: Ноя. 26, 2024
Язык: Английский
Процитировано
3Deleted Journal, Год журнала: 2024, Номер unknown, С. 100064 - 100064
Опубликована: Дек. 31, 2024
<p>Given the increasing demand for sustainable agricultural practices and energy conservation, advanced technologies electric machinery (EAM) are critically needed. This paper provides a comprehensive review analysis of powertrain systems management strategies (EMSs) tractors (ETs), key representative EAM. Specifically, this paper: (1) outlines current development status research significance ET powertrains, including single-energy powertrains (SEPs), diesel-electric hybrid (DEHPs), storage (HESSs); (2) offers an in-depth EMS approaches—covering rule-based, optimization-based, learning-based strategies—and evaluates their performance in terms efficiency, adaptability, cost reduction; (3) identifies future hotspots, such as intelligent data-driven EMSs, multi-source integration, optimization algorithms to improve reliability power systems. The findings highlight critical role EMSs enhancing operational range, economic viability ETs, offering insights guidance further technologies.</p>
Язык: Английский
Процитировано
3