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Research Associate or Senior Research Associate in Reduced Order Battery Modelling

University of Bristol - Department of Mechanical Engineering

Location: Bristol
Salary: £35,333 to £39,745
Hours: Full Time
Contract Type: Permanent
Placed On: 24th January 2023
Closes: 22nd February 2023
Job Ref: ACAD106590

The role

You will lead the development of novel reduced order battery models, including the development of experimental parameterisation processes and parameter extraction processes in collaboration with other researchers in the Faraday Institution’s Multiscale Modelling consortium. You will undertake research into the existing state-of-the-art methods for reduced order modelling and apply the methods to model the operation of a lithium-ion cell. You will develop computationally efficient methods to store nth-order parameter sets – neural networks have been identified as a potential means to efficiently interpolate across a multi-dimensional system. As part of the role, you will design parameterisation experiments which allow the full operation of the lithium-ion cell to be characterised in a timely manner.

Your research findings will integrate with complementary research being led at other institutions within the Multiscale Modelling consortium across the UK. As part of this, you will frequently be presenting your research findings to working groups of battery researchers and academics, as well as disseminating key findings at UK/international conferences and through journal publications. The research undertaken will contribute towards the development of faster, more accurate battery models that will have applications across academic research and in the expanding battery industry, particularly with regard to enhancing the performance of battery management systems (e.g. for electric vehicles). 

What will you be doing?

Research Responsibilities

  • To plan and carry out research in accordance with the project aims.
  • To conduct literature searches and reviews.
  • To develop experimental methods to characterise the performance of lithium-ion batteries.
  • To set-up and run battery experiments in a laboratory environment.
  • To develop reduced-order battery models that are parameterised from experimental data.
  • To graphically present the findings of complex experimental datasets to academic partners across the inter-institutional research consortium.
  • To work effectively within the large Multiscale Modelling consortium, contributing towards research led by others across the UK.

Administration Responsibilities

  • To write technical reports that may serve as a formal project deliverable.
  • Prepare publications for academic journals and present the results at international conferences.
  • To maintain accurate and complete records of all findings.

You should apply if

Essential

  • Experience in undertaking self-directed research in a collaborative academic environment.
  • Experience in formulating and writing technical reports and academic journal publications.
  • Experience in computational data analytics (e.g. with Python, Matlab etc…)
  • Experience ideating and designing large-scale experimental investigations
  • Experience with hands-on experimental work in a laboratory environment.

Desirable

  • Experience in lithium-ion cell research, either through modelling of lithium-ion cells or through experimental investigations.
  • Experience with reduced order modelling methods.
  • Experience in reduced order battery model parameterisation methods.
  • Understanding of transient and steady-state conductive heat transfer mechanisms.

Additional information

For informal queries please contact Alastair Hales, a.hales@bristol.ac.uk

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. 

Click here to apply online

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