Skip to main content


Tampere University
Duration of project1.1.2021–30.6.2022
Area of focusTechnology

CeLLife-project develops diagnostics and charging methods to support sustainable and efficient use of the lithium-ion batteries in numerous different applications. The methods provide comprehensive information about the battery state-of-health, internal impedance and, at the same time, active use of the method slows down the most common aging processes of the Li-ion batteries. Accurate impedance measurements require low power and can be executed very fast, even in less than a second. This makes the measurements suitable for cost-effective and safe quality-control of the Li-ion batteries and provides an effective tool for sorting used battery cells for second-life purposes. Therefore, the CeLLife-project provides flexible methods for optimizing the use of the Li-ion batteries over their whole lifetime, which helps to reduce overall costs and carbon footprint of the battery solutions.

The most important benefits:

  • Accurate and fast state-of-health diagnostics for Li-ion batteries:
    • Assists in optimizing battery use and maintenance
    • Forecasts faults and other safety issues
    • Is cost-effective tool for quality control
    • Enables safe second-life use batteries
  • Extended battery lifetime:
    • Reduces long-term costs (replace/maintenance)
    • Reduces overall emissions
    • Reduces need for oversizing batteries


The CeLLife-methods are based on years of battery research conducted at Tampere University. The main emphasis of the research has been to develop fast and accurate techniques to measure lithium-ion batteries. In January 2021, Business Finland started to fund the CeLLife-project, which aims to investigate the market potential and possible ways to commercialize especially the developed battery-charging method.


The CeLLife charging method provides comprehensive information about the battery health and is able to forecast possible battery faults during the otherwise standard charging process. The obtained battery-health information can be utilized to optimize the use and maintenance of battery-driven applications, or to determine when batteries are in the end of their lifetime but still safe for the second-life purposes in different applications. In addition to the comprehensive diagnostics, active use of the charging method slows down aging processes and capacity fade of the Li-ion batteries, and therefore, directly extends their lifetime.

Funding source

Business Finland, Research to Business -funding