Rechargeable batteries and especially lithium-ion batteries are already present in a multitude of applications among which we can mention the storage of wind or solar energy, mobile phones, airplanes and automotive. In all these applications, battery diagnosis represents a major challenge in terms of performance and safety.
A new methodology to estimate thermodynamic data, the entropy in particular, in real-time has been developed. Then by using Artificial Intelligence the chemical composition and the state of health of batteries have been determined from thermodynamic data.
The developed technology not only estimates the battery electrical parameters but can also estimates the thermodynamic ones. Thus a better knowledge on the battery state is achieved allowing a safer and more efficient battery use.
A first measurement device has been developed for research and development purposes. It allows a fast electro-thermal thermodynamic measurement. Several lithium-ion batteries have been already tested.
At first the technology is intended to be provided to research purposes for Academics and Industrials in order to characterize their batteries. In a second time, the aim is to implement the technology in the battery management system (BMS) for applications such as automotive, energy storage …