Battery Management, Key Technologies, Methods, Issues, and Future Trends of Electric Vehicles: A Pathway toward Achieving Sustainable Development Goals

Batteries, Год журнала: 2022, Номер 8(9), С. 119 - 119

Опубликована: Сен. 7, 2022

Recently, electric vehicle (EV) technology has received massive attention worldwide due to its improved performance efficiency and significant contributions addressing carbon emission problems. In line with that, EVs could play a vital role in achieving sustainable development goals (SDGs). However, face some challenges such as battery health degradation, management complexities, power electronics integration, appropriate charging strategies. Therefore, further investigation is essential select storage system, technologies, algorithms, controllers, optimization schemes. Although numerous studies have been carried out on EV technology, the state-of-the-art progress, limitations, their impacts SDGs not yet examined. Hence, this review paper comprehensively critically describes various technological advancements of EVs, focusing key aspects strategies, methods, optimizations. Moreover, open issues, challenges, concerns are discussed identify existing research gaps. Furthermore, develops relationship between benefits concerning social, economic, environmental impacts. The analysis reveals that substantial influence development, affordable clean energy, cities communities, industry, economic growth, climate actions. Lastly, delivers fruitful effective suggestions for future enhancement would be beneficial engineers industrialists develop efficient storage, approaches, converters, optimizations toward targeting SDGs.

Язык: Английский

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Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm

Journal of Energy Storage, Год журнала: 2023, Номер 61, С. 106802 - 106802

Опубликована: Фев. 8, 2023

Язык: Английский

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Charging management of electric vehicles with the presence of renewable resources

Renewable energy focus, Год журнала: 2024, Номер 48, С. 100536 - 100536

Опубликована: Янв. 11, 2024

Considering the increasing use of electric vehicles, establishment charging stations to exchange power between grid and devices, integration with solar generation sources, optimal vehicle in system. The purpose cost reduction presence intelligent environment is a challenge that must be investigated so this platform suitable for predicting behaviour vehicles and, as result, optimizing their network. This research presents relatively complete radial distribution network development planning model two scenarios. In first scenario, effects are not considered, only distributed production (renewable dispatchable) considered. Studies have been done on sample 54-bus network, common system most Distribution expansion (DEP) articles networks. addition, real data American highways used create raw input data. Also, due distance limit, information under 100 miles has received information. clustering method Capiola multivariate probability functions created scenarios during different years. Capiola's increases accuracy load forecasting according predetermined growth rate. DEP problem modeled an optimization based dynamic, 5 one-year time frames (5-year horizon accuracy). results indicate that, technical characteristics improved. Similarly, DGs, addition reducing equipment, reduced undistributed energy But 10,000 which applied uncontrolled load, caused increase energy. equipment required almost much 5%.

Язык: Английский

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Sliding mode based adaptive linear neuron proportional resonant control of Vienna rectifier for performance improvement of electric vehicle charging system

Journal of Power Sources, Год журнала: 2022, Номер 542, С. 231788 - 231788

Опубликована: Июль 1, 2022

Язык: Английский

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IntelliSense technology in the new power systems

Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 177, С. 113229 - 113229

Опубликована: Март 3, 2023

Язык: Английский

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Sensitivity analysis index to determine the optimal location of multi-objective UPFC for improvement of power quality parameters

Energy Reports, Год журнала: 2023, Номер 10, С. 431 - 438

Опубликована: Июль 7, 2023

Today, advanced technologies are used for the reliable operation of power systems. In order to access a and practical function in systems, it is necessary use precise control systems with higher efficiency minimize problems distribution system. Devices that made on basis electronics have wide applications today. These devices, which called FACTS provide possibility improving energy transmission least investment cost, as well quick system problems. devices placed series, parallel or series-parallel lines permanent states dynamic behavior transient states. an effective method solve limitations lines. Transmission replacement networks create new network. From point view control, controllers can be anywhere line, but elements most effectively when they at critical point. Unified Power Flow Controller (UPFC) one important improve parameters. The quality depends effect this controller loss reduction, reducing total harmonic distortion (THD), removing clogged their proper location This device capable all different parameters time. usually include voltage, impedance, phase. paper uses sensitivity analysis index determine optimal size UPFC proposed evaluated IEEE 14-bus network Simulink environment MATLAB software. Finally, according simulation results obtained from base network, determined using location, losses Network, distortions (THD) eclipses Network much improved. indicate has provided good answer Using method, best place install grid, mode number 6 between buses 2 11 obtained. amount after analysis, compared Active about 55% reactive 11% deceased, Due circular structure current passing through depending load bases near presence UPFC, optimized also reduced. 4) Percentage mains voltage before 27.12%, installation 6th maximum been reduced 11.11%.

Язык: Английский

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Multilevel Data-Driven Battery Management: From Internal Sensing to Big Data Utilization

IEEE Transactions on Transportation Electrification, Год журнала: 2023, Номер 9(4), С. 4805 - 4823

Опубликована: Авг. 7, 2023

A battery management system (BMS) is essential for the safety and longevity of lithium-ion (LIB) utilization. With rapid development new sensing techniques, artificial intelligence, availability huge amounts operational data, data-driven has attracted ever-widening attention as a promising solution. This review article overviews recent progress future trend from multilevel perspective. The widely explored methods relying on routine measurements current, voltage, surface temperature are reviewed first. Within deeper understanding at microscopic level, emerging strategies with multidimensional data assisted by techniques have been reviewed. Enabled fast growth big technologies platforms, efficient use enhanced further overviewed. belongs to upper macroscopic levels BMS framework. this endeavor, we aim motivate insights into next-generation management.

Язык: Английский

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Grid-Vehicle-Grid (G2V2G) Efficient Power Transmission: An Overview of Concept, Operations, Benefits, Concerns, and Future Challenges

Sustainability, Год журнала: 2023, Номер 15(7), С. 5782 - 5782

Опубликована: Март 27, 2023

Electric vehicles (EVs) are proportionally increasing day-by-day with the inclusion of upgraded technology toward considered zero carbon emission efforts. To mitigate greenhouse gas emissions from transportation sector, grid-to-vehicle (G2V) and vehicle-to-grid (V2G) technologies getting significant attention nowadays. EVs equipped modern can help to stabilize power grids through load-balancing topology during peak hours. The improvement in support surroundings numerous ways, such as grid voltage frequency regulations, harmonics distortions, accessible solar energy implemented grids, load stabilizations. This literature review analyzes G2V V2G impacts more depth, namely opportunities, improvements strategies, operation, control, issues, new adoptions. paper emphasizes possibilities bringing advancements EV technology, smooth operations between EVs, fast bidirectional charging discharging scopes, control structures, benefits, pitfalls, challenges, recommendations.

Язык: Английский

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Intelligent Learning Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review

IEEE Transactions on Intelligent Transportation Systems, Год журнала: 2023, Номер 24(10), С. 10345 - 10361

Опубликована: Июнь 15, 2023

As one of the alternatives to conventional fuel vehicles, hybrid electric vehicles (HEV) offer lower consumption and fewer exhaust emissions. To improve performance HEV, energy management strategy (EMS) is most critical technologies. Classic EMS can be broadly classified into rule-based optimization-based. With development machine learning technology, deep reinforcement (DRL) algorithm intelligent algorithms has been applied EMS. This paper mainly reviews research progress based on DRL from two aspects training environment, involving combining transportation system (ITS) reviewed. In addition, experimental test situations DRL-based are discussed. Finally, challenge EMSs analyzed some solutions provided. particular, it also involves discussion about automotive cyber security in environment.

Язык: Английский

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A decentralized intelligent protection coordination scheme in distribution systems with electric vehicle integration

Electric Power Systems Research, Год журнала: 2025, Номер 244, С. 111539 - 111539

Опубликована: Фев. 21, 2025

Язык: Английский

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