CNRS Technologies

Find the best CNRS technologies to boost your innovative project.

Les brevets les plus récents

You are a research scientist?

We can guide you through the whole technology transfer process.

See all our services

You are a corporate player?

Thanks to our expertise, our network and our know-how of the innovation ecosystem, we support you throughout your project.

Contact us

Follow our news and upcoming events

Discover CNRS technologies

Meet our team

Fermer

Method to determine the SOH of a battery

Référence

06203-01

Statut des brevets

Priority patent of invention n° FR 1359508 filed in October 1, 2013, entitled ” Procédé et appareil d’évaluation de l’état de santé d’une batterie lithium»

 

Inventeurs

Jean-Michel VINASSA
Akram EDDAHECH
Olivier BRIAT

Statut commercial

Exclusive or non exclusive licenses.

Laboratoire

Laboratoire de l’Intégration du Matériau au Système (IMS, UMR5218), Bordeaux, France

Description

CONTEXT

Lithium ion batteries are widely spread nowadays to power most of electronic devices and even for electric vehicles or energy storage systems. Lifetimes of these batteries are related to their way of use and BMS are mandatory to control charge level, to balance between the cells in a battery pack,…
The determination of the State of Health (SOH) is an important part of BMS for EV or HEV batteries.

TECHNICAL DESCRIPTION

The invention relates to a new method to evaluate the state of health of lithium ion battery.
In BMS, SOH is evaluated through the measurement of parameters related to the performance of the battery (usually internal resistance and capacity).

The charging process of industrial lithium ion battery is performed in two phases. A first step with a constant current, and a second step with a constant voltage. This second step is stopped when the current reaches a specified low value.

Development stage

The invention uses the time of the CC-CV charge process in order to evaluate the SOH of the cell. A simple exponential model easy to implement shows a good fit with experimental data. The model was tested for the main cathode materials (LMO, NCA, NMC). The model could be adapted to fit the specific behavior of LFP cathode.

INDUSTRIAL APPLICATIONS

BMS

For further information, please contact us (Ref 02381-01)

Besoin de plus d'informations ?

Nous contacter
Fermer

Contactez-nous

  • This field is for validation purposes and should be left unchanged.
Fermer

Les brevets les plus récents