Battery Management Laboratory

Battery Management laboratory is a part of Real-time Power and Control System laboratory which currently have the following activities:

Project: Condition monitoring system for electric vehicle battery packs using current density images of Li-ion pouch cells

 lithium-ion_cells

currentdensity

This project will develop a new technique for non-invasive imaging of the current flow within the electrolyte of a typical Li-ion pouch cell used in automotive applications.  We will assess the feasibility of deploying the quantum magnetometer sensor technology for in-situ current measurement within EV battery modules. We will produce a demonstrator system delivering real-time performance data from a battery module using new sensors and image analysis algorithms. The system will be integrated into a module level battery management system (BMS) and provide a roadmap for implementing a production system the pack level.

Industrial partners: CDO2, Inex Microtechnology, Nissan

Outline of research laboratory activities:
> Capturing high frequency data feeds of thermal and magnetometer sensors using micro-controllers and image sequences analysis using Matlab.
> The development of algorithms for feature and anomaly detection in sensor images.
> The integration of the resulting data and algorithms into a real-time hardware-in-the-loop simulation of battery management system (BMS).

Project: Condition Monitoring system for aged Li-ion battery packs

bms

For the battery management system, we will develop an adaptive single-particle aged LiB model along with a specially designed in-cell sensor/antenna to accurately estimate the critical battery parameters, i.e. electrochemical, thermal, ageing and degradation, state-of-charge (SoC) and state-of-health (SoH), all in realtime for the safe and durable operation of the aged LiBs.  We will design a controller/observer to optimise the ageing model parameters, balance the power within the battery pack and reduce the response time in converter/battery pack communications. We further design a controller for the microgrid to provide intelligent power management and ensure the stable operation of the whole system. We also investigate a low-cost ventilation/cooling system that it can withstand random thermal variability of the aged LiBs in case of unexpected ambient temperature rise (up to +60C).

Outline of research laboratory activities:
> Develop online estimator/observer for the accurate SoC estimation.
> Cell balancing to improve power management.
> Integrated control of bi-directional charger and battery pack.
> Integrated condition monitoring to guarantee reliability and safety of the charger and the pack.
> Development of a special ventilation and cooling system to maintain the battery life-cycles in high temperatures.