Advances in Sand Cat Swarm Optimization: A Comprehensive Study

Archives of Computational Methods in Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

Язык: Английский

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Optimal Sizing and Energy Management of Electric Vehicle Hybrid Energy Storage Systems With Multi-Objective Optimization Criterion

IEEE 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

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Storage solutions for renewable energy: A Review

Energy Nexus, Год журнала: 2025, Номер unknown, С. 100391 - 100391

Опубликована: Фев. 1, 2025

Язык: Английский

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Probabilistic prediction-based multi-objective optimization approach for multi-energy virtual power plant

International Journal of Electrical Power & Energy Systems, Год журнала: 2024, Номер 161, С. 110200 - 110200

Опубликована: Авг. 28, 2024

Язык: Английский

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Innovative optimization of hybrid energy storage systems for electric vehicles: Integrating FBPINN-SAO to enhance performance and efficiency

Journal of Energy Storage, Год журнала: 2024, Номер 108, С. 115021 - 115021

Опубликована: Дек. 19, 2024

Язык: Английский

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Optimizing energy management in electric vehicles with hybrid battery systems using the GTOA-DRCNN method

Journal of Energy Storage, Год журнала: 2024, Номер 100, С. 113352 - 113352

Опубликована: Сен. 18, 2024

Язык: Английский

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An intelligent approach for cascaded multi-level inverter (CMLI) with grid-connected hybrid system

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Янв. 26, 2024

Язык: Английский

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A soft actor-critic reinforcement learning framework for optimal energy management in electric vehicles with hybrid storage

Journal of Energy Storage, Год журнала: 2024, Номер 99, С. 113344 - 113344

Опубликована: Авг. 19, 2024

Язык: Английский

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Optimized control of hybrid energy storage systems for electric vehicles using BWPOA-MFPIDNN approach

Journal of Energy Storage, Год журнала: 2024, Номер 104, С. 114317 - 114317

Опубликована: Ноя. 26, 2024

Язык: Английский

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A Review on the Powertrains and Energy Management Strategies of Electric Tractors

Deleted 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

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