Abstract
Engineering Questions
Vehicle Tire Pressure Monitoring System(TPMS) is comprised of four pressure sensors and one ECU (also called Receiver), ECU receives RF signals from sensors of the vehicle but filter signals from other adjacent vehicles or the other source alike. So it is important to match the pressure sensors and the ECU in the plant vehicle assembly line before End of Production Line(EOL).This matching process is referred as learning sensors’ IDs for ECU. The learning process must satisfy the requirements of vehicle production line speed, learning efficiency and accuracy, and less human involvement. How to deal with the Engineering questions and achieve the optimal learning process, this article must provide answers.
Methodology
GAC Engineering has taken on the challenge to solve the problem in the plant production line. The analyses and investigation of the learning ID flow are necessary. The Auto-intelligent-learning system starts to work after the vehicle’s arrival is detected. The vehicle moves with the production line flow. An antenna on each side of the assembly line as an initiator should be set near the tire, then the sensor in every tire should be initiated individually by the antenna to send out RF signal which contains ID number as shown in figure. Next step, RF signal transmits from sensor is received and decoded for ID number by the antenna with RF receiver incorporated. After the learning system gets the ID number, the lab top is to write ID number into the TPMS ECU in the vehicle through OBD connector. Last, the vehicle exit production assembly line will run on test road to check whether learning is successful.
Results
In the paper, learning method and control logic will be presented to show the results. The Auto-Intelligent-Learning system has self-diagnosis function for every learning step, any failure from system or the sensors will be displayed on the human interface screen set above the vehicle assembly line to alert operators.
Limitations of this study
An important limitation of the Auto-Intelligent-Learning system is the power that the Antenna transmit LF signal to initiate the sensor is difficult to automatically adjust with the distance between sensor and Antenna. At the moment, this power is fixed by operator, valid for just one kind of sensor and one fixed distance between sensor and Antenna.
What does the paper offer that is new in the field including in comparison to other work by the authors?
The method of learning ID in the GAC vehicle production line is fully automatic .That is new compared to all other manufacturers. And during every learning step, the system is designed with self-diagnosis function to guarantee each step of task successfully including the running test step.
Conclusions
Unlike traditional ID learning system，the auto-intelligent learning system will work automatically without human intervention, it makes the learning job more efficient and reliable, significantly increases production efficiency.
KEYWORDS –Auto-Intelligent-Learning, TPMS Sensor’s ID, Application, Plant Production line,UDS.