Manuscript Topics

The automation transport system is essential in increasing the communication, control, and autonomy of a broad range of applications on land, sea, and air. The increase in workforce age and cost has driven the technological development and adaptation of innovative system design, simulation, and intelligence application in transport systems. The changing technical demand and operating uncertainties have resulted in new transportation challenges and increased demand for battery and sensor platforms for capturing mobility analytics under uncertain operating environments. Lithium-ion battery (LIB) power systems have been commonly used for energy storage in electric vehicles. However, it is quite challenging to implement a robust real-time fault diagnosis and protection scheme to ensure battery safety and performance. A resilient framework for real-time fault diagnosis and protection in a battery-power system will be needed. Efficient system design and simulation using artificial intelligence techniques could help address such challenging issues in the energy storage systems for the automation transport system.

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