A health assessment framework of lithium-ion batteries for cyber defense

Due to the existence of cascading failures in the vehicle system, the vehicle telematics system would cause the failure of lithium-ion batteries under the threats of cyber-attacks. This paper presents a new health assessment framework for lithium-ion batteries to construct an efficient defense mechanism. The framework could mitigate the effects of variable operation conditions to the evaluating process. Specifically, it extracts the geometrical characteristics of charging and discharging curves of the lithium-ion batteries. Furthermore, it adopts a multiple dimensionality reduction method to assess the state of health of lithium-ion batteries. Moreover, the long short-term memory network is introduced to predict the state of health. Finally, the example illustrates the effectiveness of the proposed framework.