Intelligent control of integrated on-board charger with improved power quality and reduced charging transients

Ghosh, Sourabh; Singh, Asheesh Kumar; Singh, R. B.; Maurya, Rakesh; Singh, S. N.; Yang, Guangya

doi:10.1016/j.isatra.2022.10.005

Cited by 4 publications

(1 citation statement)

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“…An artificial intelligence-based controller can achieve BPT while simultaneously offering non-linear load compensation and reactive power support, whereas traditional controllers may malfunction owing to abrupt changes in the dynamics of an extremely non-linear system [108]. An intelligent control method for a two-stage integrated on-board EV charger linked to a single-phase home outlet that provides a nearly optimal battery charging pattern with a PF correction capability was proposed in [109]. A novel neural network-based control approach for a DC-DC buck converter was proposed in [110] to track frequently changing reference signals, maintain constant output voltage for a variable load, and regulate optimum duty ratio and current limitations.…”

Section: Artificial Intelligencementioning

confidence: 99%

A critical review on contemporary power electronics interface topologies to vehicle‐to‐grid technology: Prospects, challenges, and directions

Tasnim,

Riana,

Shams

et al. 2023

IET Power Electronics

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With the evolution of the smart grid concept, the production of electric vehicles (EVs) is predicted to rise because of environmental concerns, technological advancements, and improvements in EV management. Vehicle‐to‐grid (V2G) is an enabling, realistic, and affordable technology to cope with a large number of EVs, increase energy sustainability, provide economical solutions, satisfy user‐side consumers, and facilitate power flow to the grid. Power electronics (PE) converters, particularly bidirectional power converters, are promising interfaces for V2G infrastructure because they determine the characteristics and functionalities of V2G. Therefore, this study provides an extensive review of the characteristics, technological aspects, and visions of V2G infrastructure. This review helps to identify the current state, most recent developments, and problems related to bidirectional interface topologies and control strategies in V2G infrastructure. It further examines the classification of chargers or dischargers based on numerous factors, including limitations and impacts. Furthermore, the benefits, challenges with possible mitigation solutions, and future outlooks in the implementation of V2G technology are discussed. This review is planned to serve as a reference for existing work in V2G frameworks, PE interfacing topologies, and control strategies, and to also facilitate a guideline for future work that can be implemented to flourish V2G technology.

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Section: Artificial Intelligencementioning

confidence: 99%