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Pathways to increasing diversity in electric vehicle adoption

The Society of Motor Manufacturers and Traders (SMMT) figures show an increase in used electric vehicles sales in the UK, with battery EVs representing 1.4% of the used market in 2021. The remaining percentage is still made up by conventional vehicles, meaning that the uptake is still below what is required to achieve decarbonization of transport. Several studies showed that EVs are generally adopted by a limited type of users, with gender, age, income, education level all playing a role. For example, a recent UK survey showed that women adoption of EVs is half of mens’ (2% of respondents vs 4% respectively). Further demographic characteristics influence adoption of EVs. Further, costs of investment and battery replacements are key metrics. This project will look at how batteries can be repurposed after their useful life in EVs and what incentive schemes could be designed to help EV adoption by larger consumer groups.

The project will create long-term impact by creating an understanding of how EV adoption can be expanded to user groups from varied demographic backgrounds. We will analyse challenges and barriers in EV adoption and will address specifically two major aspects: (1) battery degradation and replacement cost anxiety; (2) used EV market accessibility for large-scale adoption. Combining the results from (1) and (2), the project will result in pathways for more inclusive EV adoption. This will, in turn, lead to large-scale adoption and EV penetrations that will help achieve transport decarbonization.

Further, creating new flexibility schemes in power grids by using EV batteries that become unfit for purpose but still have capacity, will have an impact on emissions from the power sector, reducing the need for generation during peak demand conditions, creating a circular supply by charging EVs.

Meet the Principal Investigator(s) for the project

Dr Ioana Pisica
Dr Ioana Pisica - Dr Ioana Pisica is currently Reader (Associate Professor) in Power Systems. She graduated from the National Technical University of Bucharest with a BSc in Information systems for power engineering. She susbequently received her MSc in Information Systems from the Academy of Economic Studies from Bucharest and her PhD from the National Technical University of Bucharest in Machine Learning for Power Systems.

Related Research Group(s)

power cables

Brunel Interdisciplinary Power Systems - Power systems analysis for transmission and distribution networks, smart grids; congestion monitoring in transmission networks; simulation and analysis of new energy markets; optimisation of the design and operation of electrical networks; condition monitoring of power station and power system plant; energy-efficient designs for underground electric power cables.

Partnering with confidence

Organisations interested in our research can partner with us with confidence backed by an external and independent benchmark: The Knowledge Exchange Framework. Read more.

Project last modified 21/11/2023