Experience

Addionics

• United Kingdom
• Appliances, Electrical, and Electronics Manufacturing
• 1 - 100 Employee

• Battery System Modelling Engineer

  • May 2021 - Present

  Develop the electrochemical and thermo-mechanical models of the next generation of innovative lithium-ion batteries; Implement machine learning algorithms to build high-fidelity models of battery designs and electrode technology. Develop the electrochemical and thermo-mechanical models of the next generation of innovative lithium-ion batteries; Implement machine learning algorithms to build high-fidelity models of battery designs and electrode technology.



Edge Drives

• United Kingdom
• Automotive
• 1 - 100 Employee

• Battery Management Systems Engineer

  • Nov 2020 - May 2021

  Design the high-performance battery management algorithms for small electric vehicles 1. Through the analysis of battery testing data, modify and improve the existing testing regimes 2. According to the testing data, develop empirical battery models and state estimation methods c. Applying machine learning methods to modelling the cell capacity drops Design the high-performance battery management algorithms for small electric vehicles 1. Through the analysis of battery testing data, modify and improve the existing testing regimes 2. According to the testing data, develop empirical battery models and state estimation methods c. Applying machine learning methods to modelling the cell capacity drops



The University of Edinburgh

• United Kingdom
• Research Services
• 700 & Above Employee

• Postdoctoral Research Associate

  • Oct 2020 - Feb 2021

  Postdoctoral Research Associate for the project applying Machine Learning tools to Lithium-Ion battery data. 1. Collaborating with industrial partners, analyzing battery cycling data, using machine learning tools to build the ageing model for internal resistance. 2. Lithium battery experimental data exploratorium, handling, and tracking provenance of data Postdoctoral Research Associate for the project applying Machine Learning tools to Lithium-Ion battery data. 1. Collaborating with industrial partners, analyzing battery cycling data, using machine learning tools to build the ageing model for internal resistance. 2. Lithium battery experimental data exploratorium, handling, and tracking provenance of data



University of Leeds

• United Kingdom
• Higher Education
• 700 & Above Employee

• • Dec 2019 - Oct 2020

  Research assistant for EPSRC project EP/P004636/1 - Optimising Energy Management in Industry - 'OPTEMIN'My duties focus on modelling and control, in particular as:i) Bread Baking process modelling in realtime including the transit states and static states ii) Economic model predictive control development and system modelling for the waste heat energy conversion systems modelling based on the organic Rankine cycle (working with North China Electric Power University, China)iii) Modelling of energy flows at the site level to provide optimisation of energy management based on energy, environmental and economic considerations. And tools development for performance analysis and control optimisation in real-time.iv) Investigation and development of economic models that can be used incorporating with the control algorithms to reduce the energy cost and enhance the system efficiency. Show less

• • Jun 2018 - Feb 2020

  Thesis topic - Advanced battery management for novel zinc-nickel single flow batteriesResearch interests and experiments: Battery system modelling, identification, and model predictive control, and bio-inspired computational intelligence (optimization), with substantial applications including battery management technologies for batteries, from advanced battery modelling, internal state estimation to development of the novel fibre sensing methods for the battery working condition monitoring. Show less