Research on Power Battery Aging and Green Recycling Technology

Abstract

With the acceleration of global carbon neutrality, the new energy automobile industry has experienced explosive growth, which has brought more and more pressure on resources and environment due to the wave of power batteries that are about to be retired. Accurately describing the degradation path of batteries and designing economical and feasible green recycling solutions have become the main concerns of academia and industry. Therefore, this paper proposes a narrative review, covering four aspects: the explanation of aging mechanism, the prediction of health status (SOH), the evaluation of recycling technology, and the tracking of carbon footprint through digital twins. On the mechanism level, we synthesize the clutch framework of lithium inventory loss (LLI) and movable material loss (LAM) to explain the multi-scale failure modes, including the pairing scheme of cathode stripping, anode SEI evolution and electrolyte decomposition. At the prediction level, we compare and analyze the advantages of equivalent circuit model, semi-empirical degradation model and machine learning method, and emphasize the potential of mechanical data fusion channel engineering application. In terms of recycling, we quantitatively compare Pyro Metallurgic, Hydrometallurgic and direct recycling methods in terms of metal recovery, energy consumption and carbon emissions. This reveals the great advantages of non-destructive recycling technology in reducing carbon emissions. In terms of traceability, we introduced the concept of digital twins and put forward a preliminary framework for tracking carbon footprint. The framework covers the whole supply chain from design and operation to recycling. The results provide a theoretical reference for optimizing the decision-making in the battery recycling system.