Diagnostics and Prognostics for Lithium-ion Battery Systems

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Title
Diagnostics and Prognostics for Lithium-ion Battery Systems

CoPED ID
c4b3f93e-68e7-4fe5-8753-9986859d34e2

Status
Closed


Value
£1,015,555

Start Date
March 1, 2016

End Date
Feb. 28, 2017

Description

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The growth in electric vehicles and renewables is placing greater demands on energy storage and energy

management. Much of these applications are dependent on large Lithium-ion battery packs. The

Electrochemical Science and Engineering group at Imperial College London are world leaders in modelling

lithium-ion cells to estimate the pack state of charge, and the advanced techniques that can be used to

diagnose and predict degradation and failure. Dukosi Ltd has developed an innovate and disruptive Battery

Management System technology that can implement these advanced techniques. The project will implement

and demonstrate the best available techniques within a battery pack. This Feasibility Study will potentially lead

to the development of the worlds most intelligent BMS system with unique diagnostics and prognostics

capabilities.

No people listed.

Subjects by relevance
  1. Accumulators
  2. Batteries
  3. Lithium-ion batteries
  4. Electric cars

Extracted key phrases
  1. Ion Battery Systems
  2. Ion battery pack
  3. Large lithium
  4. Ion cell
  5. Diagnostics
  6. Disruptive Battery
  7. Advanced technique
  8. Pack state
  9. Energy storage
  10. Electric vehicle
  11. Available technique
  12. Imperial College London
  13. World leader
  14. Management System technology
  15. Great demand

Related Pages

UKRI project entry

UK Project Locations