Ageing characterisation of lithium-ion batteries needs to be accelerated compared to real-world applications to obtain ageing patterns in a short period of time. In this review, we discuss characterisation of fast ageing without triggering unintended ageing mechanisms and the required test duration for reliable lifetime prediction.
During accelerated aging testing, it is crucial to analyze the aging mechanisms of the battery, which are mainly diagnosed as LLI and LAM. We could study the aging mechanisms during accelerated aging using external characteristic analysis, post-mortem disassembly analysis, and in-situ characterization, as shown in Fig. 12.
Accelerated aging, as an efficient and economical method, can output sufficient cycling information in short time, which enables a rapid prediction of the lifetime of LIBs under various working stresses. Nevertheless, the prerequisite for accelerated aging-based battery lifetime prediction is the consistency of aging mechanisms.
Methods based on aging characteristic analysis achieve battery state of health (SOH) prediction by in-situ monitoring of characteristics such as temperature and pressure during battery aging process. These methods are complementary to electrochemical performance-based approaches.
Invasive battery aging detection methods refer to those that require disassembly or intervention of the battery. These methods evaluate the degree of battery aging and performance degradation by analyzing the battery’s internal physical and chemical characteristics.
The observable ageing effects originate from various chemical and physical mechanisms from the molecular to the macroscopic level. 7, 9, 28 These mechanisms, subsequently called ageing mechanisms, depend on the operating conditions to which the battery is exposed.
For example, several studies 23, 24, 39, 46, 47 have discussed the option of test acceleration by increasing charge and discharge current rates (C-rates) and thus reaching a specified number of cycles in a shorter period without altering the main occurring ageing mechanisms.