A tire-pressure monitoring system (TPMS) monitors air pressure present inside the pneumatic tires on automobiles. It reports the driver about the real-time air pressure of the tire by using easy low pressure warning light or a pictorial display. This research paper proposes a battery less hybrid TPMS SoC for road vehicles. This proposed hybrid TPMS calculates the pressure for only one tire, in order to evaluate the pressure of remaining wheels by utilizing the available sensors. The TPMS consists of two phases which are: data fusion and wireless transmission link. In the data fusion phase, the adaptive bayesian model is introduced for data fusion to enhance the accuracy value of pressure and temperature calculates in the TPMS. This adaptive Bayesian system estimation is utilized to fuse the multi-sensor data to minimize the uncertainty of the calculation and it enhance the system accuracy by reducing the data redundancy. It also deals with the imprecision of sensory assessment because of the occurred noise in the environment and feasible malfunction of hardware. In the second phase, the wireless transmission link consist of transmitter and receiver. To establish the reliability of the wireless communication method, we construct in tire data transmitter and receiver. It proceed the data communication link to the transmitter and the receiver to transfer and receive some needed information about the pressure and temperature. The main objective of this proposed battery less hybrid TPMS is to reduce the core power and effectively enhance the performance of SoC of TPMS. The performance metrics which are considered in this research such as: measurement of fusion errors and sensors, utilization of power in the pressure and temperature sensor, the transmitter phase noise and the output spectrum, the proposed method area, efficiency, frequency and output power are evaluated prove the effectiveness of the proposed battery less hybrid TPMS Soc.