L2-Gain Adaptive Robust Control for Hybrid Energy Storage System in Electric Vehicles

Zhang, Xizheng; Lu, Zhangyu; Yuan, Xiaofang; Wang, Yaonan; Xue-jun, Shen

doi:10.1109/tpel.2020.3041653

Cited by 90 publications

(37 citation statements)

References 40 publications

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“…EVCSs support UPQCs for local power supply networks, which engage in higher revenue investments and improve power quality (Pal et al, 2012). To interconnect renewable power generation systems, it is essential to sustain the quality of the source voltage within the specified tolerance band to prevent faults during grid-mode operations (Bai et al, 2015;Kraiem et al, 2021;Zhang et al, 2021). The UPQC plays a crucial role in preserving the source voltage quality when faults occur in renewable energy systems, such as photovoltaic (PV) and wind (Millnitz dos Santos et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Prasada Rao,

Pandian,

Reddy

et al. 2024

Front. Energy Res.

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This manuscript proposes a novel hybrid artificial intelligence (AI) approach for a unified power quality conditioner (UPQC) designed specifically for electric vehicle charging stations (EVCSs). The aim is to integrate multiple vehicle-to-grid (V2G) functionalities, thereby mitigating the challenges associated with electric vehicle (EV) grid integration and the incorporation of distributed energy resources (DERs). The hybrid technique presented in this manuscript combines the gradient boosting decision tree (GBDT) algorithm and the jellyfish search (JS) algorithm, referred to as the GBDT–JS technique. This innovative approach involves utilizing the charging station to offer EV charging services and facilitating the discharge of EVs to the power grid. Integration of the UPQC with DERs, such as photovoltaic (PV), is implemented to decrease the power rating of converters and fulfill power demand requirements. The initial converter within the UPQC is employed to manage the direct current (DC) voltage, while the second converter oversees the power charging or discharging processes of EVs. Additionally, it mitigates the impact of battery voltage fluctuations. The UPQC with vehicle-to-grid functionality minimizes the load pressure on the grid, preventing over-current issues. The presented approach regulates the UPQC converters to mitigate power quality issues such as harmonic currents and voltage sags. Subsequently, the effectiveness of this technique is demonstrated using the MATLAB/Simulink operating platform. The evaluation of GBDT–JS performance involves a comparative analysis with existing techniques. This assessment reveals that the proposed method effectively alleviates power quality issues, specifically reducing total harmonic distortion (THD), and delivers optimal outcomes.

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Section: Introductionmentioning

confidence: 99%

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Prasada Rao,

Pandian,

Reddy

et al. 2024

Front. Energy Res.

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“…When it comes to technology, it is usual and practicable to employ an AC bus with numerous AC/DC conversion stages, especially when working with electricity sourced from the common AC power grids. The efficiency of the system as a whole might be impacted by the energy losses introduced at each conversion stage; it is crucial to note 16 , 17 . The benefits of using AC technology must be carefully weighed against the need to reduce these losses for optimum performance by engineers and designers.…”

Section: Introductionmentioning

confidence: 99%

Hybrid genetic algorithm-simulated annealing based electric vehicle charging station placement for optimizing distribution network resilience

Kumar,

Jyothi,

Singh

et al. 2024

Sci Rep

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Rapid placement of electric vehicle charging stations (EVCSs) is essential for the transportation industry in response to the growing electric vehicle (EV) fleet. The widespread usage of EVs is an essential strategy for reducing greenhouse gas emissions from traditional vehicles. The focus of this study is the challenge of smoothly integrating Plug-in EV Charging Stations (PEVCS) into distribution networks, especially when distributed photovoltaic (PV) systems are involved. A hybrid Genetic Algorithm and Simulated Annealing method (GA-SAA) are used in the research to strategically find the optimal locations for PEVCS in order to overcome this integration difficulty. This paper investigates PV system situations, presenting the problem as a multicriteria task with two primary objectives: reducing power losses and maintaining acceptable voltage levels. By optimizing the placement of EVCS and balancing their integration with distributed generation, this approach enhances the sustainability and reliability of distribution networks.

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“…Fuel economy 11 , vehicular communication systems 12 , intelligent vehicles 13 , 14 , unmanned transportation 15 , power management algorithms 16 , Power train architecture 17 , vehicle safety 18 , grid connected electric vehicles 19 , machine control 20 , 21 and power sources lifespan enhancement 22 , 23 are a prominent current trend in the realm of automotive engineering 24 .…”

Section: Introductionmentioning

confidence: 99%

New coordinated drive mode switching strategy for distributed drive electric vehicles with energy storage system

Oubelaid,

Kakouche,

Belkhier

et al. 2024

Sci Rep

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High performance and comfort are key features recommended in hybrid electric vehicle (HEV) design. In this paper, a new coordination strategy is proposed to solve the issue of undesired torque jerks and large power ripples noticed respectively during drive mode commutations and power sources switching. The proposed coordinated switching strategy uses stair-based transition function to perform drive mode commutations and power source switching’s within defined transition periods fitting the transient dynamics of power sources and traction machines. The proposed technique is applied on a battery/ supercapacitor electric vehicle whose traction is ensured by two permanent magnet synchronous machines controlled using direct torque control and linked to HEV front and rear wheels. Simulation results highlight that the proposed coordinated switching strategy has a noteworthy positive impact on enhancing HEV transient performance as DC bus fluctuations were reduced to a narrow band of 6 V and transient torque ripples were almost suppressed.

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L2-Gain Adaptive Robust Control for Hybrid Energy Storage System in Electric Vehicles

Cited by 90 publications

References 40 publications

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique

Hybrid genetic algorithm-simulated annealing based electric vehicle charging station placement for optimizing distribution network resilience

New coordinated drive mode switching strategy for distributed drive electric vehicles with energy storage system

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