HNEI Assistant Researcher Matthieu Dubarry and his team published a new study in the Journal of Power Sources. In this, they proposed, for the first time, synthetic training datasets for artificial intelligence lithium ion diagnosis and prognosis. The open access datasets are more than three order of magnitude larger that the sum of previously publicly available data. The paper “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis” can be accessed at https://dx.doi.org/10.1016/j.jpowsour.2020.228806.
