Multi-objective optimisation model and hybrid optimization algorithm for Electric Vehicle Charge Scheduling

Mahato, Durga; Aharwal, Vikas Kumar; Sinha, Apurba

doi:10.1080/0952813x.2023.2165719

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…DC charging standards include CHAdeMO, Combined Charging System (CCS), and Tesla Supercharger. These standards provide faster charging speeds and are commonly used in public charging stations [8,9]. The development of EV charging infrastructure is a critical aspect of promoting EV adoption.…”

Section: Charging Standardsmentioning

confidence: 99%

Powering Ahead: Current Landscape of Electric Vehicles (EV) in India

Kailashkumar. B,

Elanchezhiyan. M

2024

IJECC

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Electric vehicles have gained widespread acceptance globally, driven by increasing awareness of environmental issues and government initiatives promoting sustainable transportation. The market for electric vehicles has witnessed exponential growth, with major automotive manufacturers investing heavily in research and development to bring innovative and competitive electric models to the market. The core technology of electric vehicles revolves around electric powertrains, which replace traditional internal combustion engines with electric motors powered by rechargeable batteries. This shift not only reduces reliance on fossil fuels but also significantly decreases greenhouse gas emissions, contributing to the mitigation of climate change. Recent advances in battery technology, particularly in energy density and cost reduction, play a pivotal role in enhancing the range and affordability of electric vehicles. The transition towards electric vehicles (EVs) has gained significant momentum in India, in recent years. This paper examines the current status of electric vehicles in the Indian market, including government initiatives, infrastructure development, challenges, and future prospects. The analysis highlights the key factors driving the adoption of EVs, the state of charging infrastructure, policy framework, and the impact of electric mobility on the environment and the economy.

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Section: Charging Standardsmentioning

confidence: 99%

Powering Ahead: Current Landscape of Electric Vehicles (EV) in India

Kailashkumar. B,

Elanchezhiyan. M

2024

IJECC

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“…Machine learning techniques Traffic signal control [147] Collaborative Reinforcement learning Traffic signal control [131] Self-defined Reinforcement learning Ride-hailing order dispatch [137] Combinatorial Reinforcement learning Taxi order dispatch [152] Combinatorial Bayesian framework Route planning [10] Shortest path N.A. Bus schedule optimization [130] Mixed integer k-NN Vehicle routing problem [86] Combinatorial Reinforcement learning Electric vehicle charging scheduling [34] Multi-objective N.A. Electric vehicle charging scheduling [36] Game problem Reinforcement learning Bike-sharing rebalancing [64] Multi-objective Reinforcement learning Car-sharing rebalancing [102] Markov decision process Reinforcement learning…”

Section: Application Optimizationmentioning

confidence: 99%

Machine learning models in urban transport applications: understanding and actuation

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First and foremost, I would like to express my sincere gratitude to Professor Li Mo from the School of Computer Science and Engineering, for being my PhD supervisor in NTU and for his continuous support and guidance for my research projects. I would always appreciate his patience in guiding me through my PhD studies from brainstorming research topics to drafting papers, from rebuttal to presentation, from lab experiments to industrial collaborations, and from research to life, without which I would not make this thesis possible. I would also remember the times we partied at Prof. Li's house, with delicious food and fun activities. I am also grateful to my co-supervisor, Professor Cyril Leung, and my mentor, Dr. Wang Di, for being the members of my Thesis Advisory Committee and providing constructive feedback and insightful comments on my work via emails, talks and catch-ups. I would also like to thank my group mates in WANDS for their great support and encouragement. I would always remember the extensive discussion I had with Dr. Tong Panrong and Dr. Mo Xiaoyun on our collaborative work, the generous help from Dr. Cao Chu, Liu Kaiqi and Ji Sijie on every detail in research and in life. I would like to extend my thanks to my peers in Alibaba-NTU Talent Program for always being encouraging, positive and enthusiatic; and to the work mates in Alibaba for the valuable support and research facilities. Last but not least, I would like to thank my husband, Han Qiao, for being the greatest companion in my life, giving support for every decision I made and giving help for every struggle I had during my research and my life. I would like to thank my baby, Han Ziqian, for the happy time I had with him. I would also like to thank my parents, family, peers and friends for their love, support and encouragement. v Contents Statement of Originality i Supervisor Declaration Statement ii

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