• Implement IoT module and Server monitoring vehicle’s states in real time.
• Implement Algorithm, based on Machine Learning method and Probability Models, can estimate states of vehicle’s low level system, life time, anomaly and cause of them.
• For example, we implement LSTM Neural Network structure to predict battery State of Charge, Remain Useful Lifetime and anomaly.
Furthermore EPS(Electric Power Steering), PTO(Power Take Off), Air conditioning, Brake and MCU(Motor Control Unit) are included targets of our PHM system.