A battery-less hybrid in-tire pressure monitoring SOC for road vehicles using adaptive bayesian system and optimized wireless communication model

Abstract

Modern automobile battery management systems are becoming more and more susceptible to cyberattacks, which may compromise system performance, safety, and efficiency. These security risks are frequently ignored by existing tire pressure monitoring system (TPMS) solutions while preserving power efficiency. In order to address these obstacles, this study suggests a battery-free hybrid in-tire pressure monitoring system-on-chip (SoC) that combines an improved wireless communication model to improve security and power efficiency with an adaptive Bayesian system for secure data fusion. This adaptive Bayesian system estimation is utilized to fuse the multi-sensor data to minimize the uncertainty of the calculation. It enhances the system’s accuracy by reducing data redundancy. It also deals with the imprecision of sensory assessment because of the noise in the environment and feasible hardware malfunction. The wireless transmission link consists of a transmitter and receiver in the second phase. To establish the reliability of the wireless communication method, in tire data transmitter and receiver are constructed. After that, it moves on to the data connection link between the transmitter and receiver to send and receive the necessary temperature and pressure data. Improving the voltage-controlled oscillator (VCO) in the transmitter module is one way to lessen power consumption and phase noise in the PLL architecture. The major concern of this proposed battery less hybrid TPMS is to reduce the core power and effectively enhance the performance of the SoC of TPMS. The performance metrics used in this research are the measurement of fusion errors, utilization of power in pressure and temperature sensors, the transmitter phase noise and the output spectrum. Also, area, efficiency, frequency and output power are evaluated to prove the effectiveness of the proposed battery less hybrid TPMS Soc. In addition, the VCO’s efficiency, output power, phase noise, and frequency tuning range are analyzed.