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Methodological Approach for Converting Conventional Powertrain Platform into an Electrified One
Technical Paper
2017-28-1943
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper details about the approach and challenges in converting a conventional vehicle platform designed for diesel/gasoline powertrain into an electrified one. It is not always feasible to accommodate electric powertrain in conventional platforms based on the target requirements. Electrification of conventional vehicles will cut back dependence on fossil fuels, emission of greenhouse gases and emission of pollutants. Fossil fuel are going to be depleted in few decades. Moreover, the emission from traditional vehicle has raised a huge threat to the atmosphere. Auto OEM’s have recognized that electric drive vehicles are critical to the future of the industry. However, some difficulties exist to more noteworthy selection: the view of cost, EV range, access to charging, potential impacts, and absence of open mindfulness about the accessibility and common sense of these vehicles. It is therefore important to assess and follow a methodological approach in converting the platform to electrified one. In present state of affairs, the importance of fuel economical vehicles, reduced emissions & energy potency is the foremost concern for any vehicle manufacturer. To meet these expectations vehicle manufacturers are exploring alternate powertrains to cut back emissions and manufacture higher fuel economical vehicles. For any vehicle producer part cost, weight and package volume are the significant driving variables for achievement. This is even true for state-of-the-art forthcoming hybrid and electric vehicles as well. This paper discusses the approach to be followed and the tools to be used to achieve the desired results.
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Jaswal, A., Madhurakavi, R., and Chandrasekaran, P., "Methodological Approach for Converting Conventional Powertrain Platform into an Electrified One," SAE Technical Paper 2017-28-1943, 2017, https://doi.org/10.4271/2017-28-1943.Data Sets - Support Documents
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