The increasingly pressing need to combat environmental issues, in particular greenhouse gas emissions, requires a transition towards more sustainable transport solutions. Electric vehicles (EVs) are identified as a key pillar in this process. However, maximising their efficiency also depends on an accurate assessment of battery health (SOH). A detailed knowledge of SOH is essential to optimise the performance of EVs, predict their remaining life and ensure their safe operation. In parallel, recent advances in the field of artificial intelligence show a real advantage in the use of such tools in various application areas. Therefore, the use of such technologies to estimate the SOH of electric vehicles appears to be a solution to this problem.