Department of Mechanical engineering

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Author: search.filters.author.Routroy, SrikantaSubject: search.filters.subject.Electric vehicles (EVs)

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    Towards sustainable transportation: factors influencing electric vehicle charging stations development
    (Elsevier, 2025-05) Digalwar, Abhijeet K.; Routroy, Srikanta
    The Indian transportation sector, reliant on fossil fuels, is predominantly accountable for the emergence of critical challenges such as greenhouse gas emissions, reliance on foreign energy sources, economic strain, and persistent health repercussions. In order to mitigate these urgent challenges, electric vehicles (EVs) are conceptualised as a viable, sustainable and ecologically sound technological solution, capable of successfully transitioning towards a sustainable low-carbon emission transportation framework and preserving finite natural resources. EVs encounter significant challenges in achieving rapid assimilation into the commercial landscape, and one of the most frequently referenced impediments to the accelerated adoption of EVs is the insufficiency of charging infrastructure along with the resultant range anxiety. Nevertheless, expanding the charging infrastructure network is financially burdensome and necessitates careful and strategic planning. Despite identifying essential factors, the inquiry “In what manner do these factors engage and interact?” has predominantly remained unaddressed in empirical investigations. Examining the interactions between these variables will empower producers and regulatory authorities to participate in systematic planning and devise suitable measures to govern these variables. The prime objective of this research is to execute an exhaustive assessment and furnish insights into the multifaceted factors/criteria influencing the establishment and development of EV charging infrastructure within a developing nation such as India. Factors are extracted from previous studies through literature reviews and expert interviews. The study also validates the identified factors empirically. Subsequently, a mixed-method approach is utilised to implement a combination of Interpretive Structural Modeling (ISM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL). This methodology enables a methodical exploration of the hierarchical structures and interconnections among the variables, thereby enhancing the comprehension of their influence on the implementation and efficacy of charging infrastructure. The study identifies technological, economic, political, geographical, environmental, geopolitical, and socio-technical factors as key drivers influencing EV charging infrastructure development, highlighting the interdependencies between critical variables and providing a structured framework to enhance accessibility, scalability, and sustainability in alignment with global Sustainable Development Goals (SDGs) 7 and 13.
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    Modelling factors influencing charging station location selection to accelerate ev adoption in India: an ISM-MICMAC analysis
    (Springer, 2023-12) Digalwar, Abhijeet Kumar; Routroy, Srikanta
    Electric vehicles (EVs) are rising fast to prominence as a key component of the effort to meet sustainable energy goals. The research and mass manufacturing of new energy vehicles, especially electric vehicles, offer several benefits over conventional energy vehicles, such as zero exhaust emissions, zero pollution, cleanliness, and low cost. As a result, more and more nations are paying attention and placing importance over the development of EV-fleet, but EV sales are still a modest part of all vehicle sales. The protruding reason highlighted by the literature and researchers is underdeveloped charging infrastructure. To get the most out of an EV, an appropriate charging station with optimum configuration needs to be placed in a specific location with all the infrastructure to make it supportive and sustainable hotspot for EVs. This study aims to identify all the factors that needs to be considered while selecting a location for setting up a sustainable charging station for EVs in semi-urban areas. A deeper understanding of factors is explored, using interpretive structural modelling (ISM) and MICMAC analysis. A total of 17 factors are considered for the analysis which are crucial in developing the configurations for an EV charging station. The outcomes of the paper will support the policymakers to locate, determine and decide the suitable locations, and configuration for constructing EV charging stations and escalate the EV adoption.
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    A data-driven framework for optimizing multi-period ev charging infrastructure deployment
    (IEEE, 2024-12) Digalwar, Abhijeet Kumar; Routroy, Srikanta
    The rise of electric vehicles represents a transformative shift in the automotive industry, signaling the dawn of a new era of clean, sustainable transportation, but their operation requires a distributed rapid-charging infrastructure. Building such rapid charging networks is currently capital-intensive and therefore, requires careful planning and the development of the charging infrastructure must be maintained. However, infrastructure construction is not a one-off investment but a multi-period plan. A multi-period location and capacity expansion model of the charging stations will be needed. This study proposes a novel data-driven framework for deploying suitable rapid-charging infrastructure for EVs in large urban areas. This study combines an iterative clustering technique with a geographical information system analysis tool to determine the suitable regions for developing an optimized EV charging service. The analysis intends to plan a case study for Gurugram City of India and suggest the locations that should be the potential points for consideration of charging station development.
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    Assessment of EVs Adoption in India Using AHP-BWM Approach
    (Routledge, 2023) Routroy, Srikanta; Digalwar, Abhijeet Kumar
    The deployment of electric vehicles (EVs) is considered as one of the potential solutions for addressing the issues like climate change, energy security and air pollution. At present, for most of the people, pollution has become an alarming concern. Pollution free environment is what everyone is aiming for, but the actions are taking apart from the goal of sustainable and environment friendly surroundings. Among various factors for pollution in India, the transportation sector holds a significant share of approximately 21% of CO2 emissions. While, the pacing numbers of registrations of automobiles in India, needs an immediate direction which must result into sustainable and environmentally friendly modes of transportation. The possible solution to this current dilemma is shifting on EVs. However, EV acceptance is not taking place at a desirable rate, although it is intended to grow in the coming years. This qualitative study incorporates exploration of various factors necessary for the adoption of EVs. Although, a big set of complex factors are tangled when considering the adoption of EVs in a developing country like India. The purpose of this study is to catalyse the adoption of EVs in India by highlighting the crucial factors, and validating them using hybrid multi-criteria decision-making method, including best-worst method (BWM), and analytic hierarchy process (AHP).