A review on unidirectional converters for on-board chargers in electric vehicle

Shanmugam, Vijayakumar; Sudhakar, N.

doi:10.3389/fenrg.2022.1011681

Cited by 9 publications

(1 citation statement)

References 153 publications

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“…So, BBEVs require a charging station or grid to charge their batteries. Dependency on the grid is the primary concern in BBEV transportation [6,7]. The electric grid obtains a lot of its power from thermal power stations.…”

Section: Introductionmentioning

confidence: 99%

Novel Machine Learning Control for Power Management Using an Instantaneous Reference Current in Multiple-Source-Fed Electric Vehicles

Mathesh,

Saravanakumar,

Salgotra

2024

Energies

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Using multiple input power sources increases the reliability of electric vehicles compared to a single source. However, the inclusion of other sources exhibits complexity in the controller system, such as computing time, program difficulty, and switching speed to connect or disconnect the input power to load. To ensure optimal performance and avoid overloading issues, the EV system needs sophisticated control. This work introduces a machine-learning-based controller using an artificial neural network to solve these problems. This paper describes the detailed power management control methodology using multiple sources like solar PV, fuel cells, and batteries. Novel control with an instantaneous reference current scheme is used to manage the input power sources to satisfy the power demand of electric vehicles. The proposed work executes the power split-up operation with standard and actual drive cycles and maximum power point tracking for PV panels using MATLAB Simulink. Finally, power management with a machine learning technique is implemented in an experimental analysis with the LabVIEW software, and an FPGA controller is used to control a 48 V, 1 kW permanent-magnet synchronous machine.

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Section: Introductionmentioning

confidence: 99%

Novel Machine Learning Control for Power Management Using an Instantaneous Reference Current in Multiple-Source-Fed Electric Vehicles

Mathesh,

Saravanakumar,

Salgotra

2024

Energies

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Electric vehicle charging technologies, infrastructure expansion, grid integration strategies, and their role in promoting sustainable e-mobility

Singh,

Vishnuram,

Alagarsamy

et al. 2024

Alexandria Engineering Journal

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Golden eagle optimized fractional-order PI controller design for a PFC SEPIC converter in EV charging

Vijayakumar,

Sudhakar

2024

Sci Rep

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The power factor correction converter is the function of the front-end converter, followed by the DC–DC converter of the electric vehicle charger. It improves the power factor and regulates the output voltage and current. This research article proposes the Golden Eagle optimization for fractional order PI (FOPI) controller for Single Ended Primary Inductor Converter (SEPIC) power factor correction. The Golden eagle optimization is based on its knowledge of hunting tactics at various degrees of spiral trajectories to catch the prey. The FOPI controller has a broad range of controller parameters that provide better control and performance of the converter. The tuning of the parameters of the FOPI controller is optimized in Golden Eagle Optimization, and the Integral Absolute error with Integral Square error is used for the objective function. The optimized parameters of FOPI compare with the conventional PI controller performance. The SEPIC converter is designed and derived from the state space model by state space averaging, and the reduced model is obtained through the moment matching method. This system is tested under MATLAB/SIMULINK, and simulation results show improved settling time, fast dynamic response, reduction of inrush current, less harmonic distortion, and stability.

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A review on unidirectional converters for on-board chargers in electric vehicle

Cited by 9 publications

References 153 publications

Novel Machine Learning Control for Power Management Using an Instantaneous Reference Current in Multiple-Source-Fed Electric Vehicles

Novel Machine Learning Control for Power Management Using an Instantaneous Reference Current in Multiple-Source-Fed Electric Vehicles

Electric vehicle charging technologies, infrastructure expansion, grid integration strategies, and their role in promoting sustainable e-mobility

Golden eagle optimized fractional-order PI controller design for a PFC SEPIC converter in EV charging

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