Ageing diagnosis and time-frequency characteristic prediction for lithium ion batteries used in electric vehicles

Lithium ion batteries are critical energy storage devices for electric vehicles. They face the challenges of battery ageing. This study investigates the diagnosis of battery ageing mechanisms and proposes the methods to predict the time-frequency characteristics, such as the open circuit voltage and impedance spectra. The outcomes of this thesis can contribute to battery ageing evaluation and guide battery management strategies to avoid catastrophic failures and prolong battery life.