Data-driven model improves accuracy in predicting EV battery degradation
Rising carbon emissions have significantly challenged sustainable development in recent years, prompting global efforts to implement carbon reduction policies and achieve long-term carbon neutrality. A crucial step in this transition involves the recycling and reuse of power batteries, which are assessed for their state-of-health (SoH) and then repaired or restructured for reuse in smaller-sized electric vehicles (EVs), energy storage systems, and smart streetlights. This process not only extends battery life but also maximizes their residual value. However, accurately assessing this value