Modelling of Hybrid Electric Vehicle Charger and Study the Simulation Results

Gaurav, Abhishek; Gaur, Anurag

doi:10.1109/icefeet49149.2020.9187007

Cited by 27 publications

(11 citation statements)

References 8 publications

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“…The major purpose of the battery CSs is to support the hybrid RES to maintain a V dc in the event of an unpredictable power clash between S&D. CS is required to employ an EV battery, which is assumed to have a variable capacity, in favour to implement existing RESs great efficiently 42,43 . This article reflects the mathematical modelling of the EV battery, which is done by using the Equations (11) and (12), as displayed in Figure 5A.

E = E_{o} - k \frac{Q}{Q - \int idt} + A \exp (- B \int idt),

V_{EV battery} = E - R_{EV battery} I_{EV battery},

where I EV battery /R EV battery /V EV battery are the EV battery current (A)/resistance (ohm)/voltage (V), E O /E is the constant EV voltage (V)/controlled voltage source (V), A/B is the exponential amplitude (V)/exponential capacity (Ah −1 ), Q is the capacity of EV battery (Ah), k is the polarization voltage (V) and

\int idt

is the charge absorbed/delivered by an EV battery (Ah).…”

Section: General Description Of Systemmentioning

confidence: 99%

“…The major purpose of the battery CSs is to support the hybrid RES to maintain a V dc in the event of an unpredictable power clash between S&D. CS is required to employ an EV battery, which is assumed to have a variable capacity, in favour to implement existing RESs great efficiently. 42,43 This article reflects the mathematical modelling of the EV battery, which is done by using the Equations ( 11) and ( 12), as displayed in Figure 5A.…”

Section: Ev Batterymentioning

confidence: 99%

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A control strategy incorporating multiple EV charging stations for an islanded micro‐grid energy management and voltage regulation

Gupta,

Suhag

2024

Energy Storage

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An electric vehicle (EV) charging station control strategy (CSCS) is proposed for proper power‐sharing among various components of an islanded microgrid (MG), consisting of the photovoltaic (PV) system, the wind energy conversion system (WECS), variable load (critical and non‐critical), multiple charging stations (CSs) and the dump load (LD). The proposed control strategy is examined in three distinct cases with varying operating conditions owing to solar irradiance, wind speed and load variations. For proper energy management (EM) and voltage regulation (VR), the diverse EVs have varying battery capacities parked in the multiple CSs to either absorb or deliver power through a two‐way power flow between the islanded MG system and the EV‐based CSs, which is reliant on the supply and demand (S&D) energy difference. The simulation is executed via the MATLAB software and two different modes—excess power mode (EPM) and deficient power mode (DPM)—are employed to validate the proposed CSCS's competency. For a realistic assessment of the proposition, the results are also verified by using a hardware‐in‐loop (HIL) real‐time (RT) OPAL‐RT simulator (OP5700). Furthermore, the findings from MATLAB and the OPAL‐RT simulator are compared to establish the robustness of the proposed strategy.

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E = E_{o} - k \frac{Q}{Q - \int idt} + A \exp (- B \int idt),

V_{EV battery} = E - R_{EV battery} I_{EV battery},

\int idt

is the charge absorbed/delivered by an EV battery (Ah).…”

Section: General Description Of Systemmentioning

confidence: 99%

“…The major purpose of the battery CSs is to support the hybrid RES to maintain a V dc in the event of an unpredictable power clash between S&D. CS is required to employ an EV battery, which is assumed to have a variable capacity, in favour to implement existing RESs great efficiently. 42,43 This article reflects the mathematical modelling of the EV battery, which is done by using the Equations ( 11) and ( 12), as displayed in Figure 5A.…”

Section: Ev Batterymentioning

confidence: 99%

A control strategy incorporating multiple EV charging stations for an islanded micro‐grid energy management and voltage regulation

Gupta,

Suhag

2024

Energy Storage

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“…In ref. [9], the authors show a modelling and simulation study of the dynamics of a 3.45 kW OBC in Simulink/Simscape environments. The simulation results are related only to the result of the control loop, ergo to the output of the DC-DC converter, while in our study we present a very exhaustive simulation analysis of all stages of energy conversion.…”

Section: State Of the Art On Obc Modelling Simulation And Controlmentioning

confidence: 99%

Electro-Thermal Model-Based Design of Bidirectional On-Board Chargers in Hybrid and Full Electric Vehicles

Dini

Saponara

2021

Electronics

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In this paper, a model-based approach for the design of a bidirectional onboard charger (OBC) device for modern hybrid and fully electrified vehicles is proposed. The main objective and contribution of our study is to incorporate in the same simulation environment both modelling of electrical and thermal behaviour of switching devices. This is because most (if not all) of the studies in the literature present analyses of thermal behaviour based on the use of FEM (Finite Element Method) SWs, which in fact require the definition of complicated models based on partial derivative equations. The simulation of such accurate models is computationally expensive and, therefore, cannot be incorporated into the same virtual environment in which the circuit equations are solved. This requires long waiting times and also means that electrical and thermal models do not interact with each other, limiting the completeness of the analysis in the design phase. As a case study, we take as reference the architecture of a modular bidirectional single-phase OBC, consisting of a Totem Pole-type AC/DC converter with Power Factor Correction (PFC) followed by a Dual Active Bridge (DAB) type DC/DC converter. Specifically, we consider a 7 kW OBC, for which its modules consist of switching devices made with modern 900 V GaN (Gallium Nitrade) and 1200 V SiC (Silicon Carbide) technologies, to achieve maximum performance and efficiency. We present a procedure for sizing and selecting electronic devices based on the analysis of behaviour through circuit models of the Totem Pole PFC and DAB converter in order to perform validation by using simulations that are as realistic as possible. The developed models are tested under various operating conditions of practical interest in order to validate the robustness of the implemented control algorithms under varying operating conditions. The validation of the models and control loops is also enhanced by an exhaustive robustness analysis of the parametric variations of the model with respect to the nominal case. All simulations obtained respect the operating limits of the selected devices and components, for which its characteristics are reported in data sheets both in terms of electrical and thermal behaviour.

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“…Electric vehicles (EV) are seen as a promising technology to tackle the climate change issue and a replacement to the traditional road transportation technology that are dependent on the depleting fossil fuel supply [28]. This is because the source of energy of an EV comes solely from the battery on board [29]. However, EVs require frequent charging as its driving range is much shorter compared to traditional transportation [30].…”

Section: Introductionmentioning

confidence: 99%

Smart Local Energy Systems: Optimal Planning of Stand-Alone Hybrid Green Power Systems for On-Line Charging of Electric Vehicles

Gharavi¹,

Kean

Flynn

2023

IEEE Access

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Multi-vector smart local energy systems are playing an increasingly importantly role in the fast-track decarbonisation of our global energy services. An emergent contributor to global decarbonisation is green hydrogen. Green hydrogen can remove or reduce the burden of electrification of heat and transport on energy networks and provide a sustainable energy resource. In this paper, we explore how to optimally design a standalone hybrid green power system (HGPS) to supply a specific load demand with on-line charging of Electric Vehicles (EV). The HGPS includes wind turbine (WT) units, photovoltaic (PV) arrays, electrolyser and fuel cell (FC). For reliability analysis, it is assumed that WT, PV, DC/AC converter, and EV charger can also be sources of potential failure. Our methodology utilises a particle swarm optimization, coupled with a range of energy scenarios as to fully evaluate the varying interdependences and importance of economic and reliability indices, for the standalone HGPS. Our analysis indicates that EV charging with peak loading can have significant impact on the HGPS, resulting in significant reductions in the reliability indices of the HGPS, therefore enhance the operation of HGPS and reduces the overall cost. Our analysis demonstrates the importance of understanding local demand within a multi-vector optimization framework, as to ensure viable and resilient energy services. INDEX TERMSSmart local energy system, green hydrogen, reliability, economics, optimization, electric vehicle charging. NOMENCLATURE ACRONYMS BES Battery Energy Storage. DGs Distributed Generation Sources. EENS Expectation Of Not Served Energy. ELF Equivalent Loss Factor. ESS Energy Storage System. EV Electric Vehicle. FC Fuel Cell.The associate editor coordinating the review of this manuscript and approving it for publication was Frederico Guimarães .

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Modelling of Hybrid Electric Vehicle Charger and Study the Simulation Results

Cited by 27 publications

References 8 publications

A control strategy incorporating multiple EV charging stations for an islanded micro‐grid energy management and voltage regulation

A control strategy incorporating multiple EV charging stations for an islanded micro‐grid energy management and voltage regulation

Electro-Thermal Model-Based Design of Bidirectional On-Board Chargers in Hybrid and Full Electric Vehicles

Smart Local Energy Systems: Optimal Planning of Stand-Alone Hybrid Green Power Systems for On-Line Charging of Electric Vehicles

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