One of the most active lines of research in our R&D department is in predictive diagnosis or prognosis applied to AutoGas/LPG engines. Our main concern is the reduction of polluting emissions and the increase in the reliability of our systems with the aim of maintaining low emission levels throughout the engine’s useful life. This is a highly innovative project where we work with Internet of Things (machine to machine) technologies and telemetry systems together with the most cutting-edge techniques in the field of machine learning.
SIROCCO is a fully configurable J1939 protocol frame simulator that helps in the development of CAN control units and equipment that require a reliable source of CAN/J1939 signals. Using potentiometers it is possible to modify the value of 6 parameters simultaneously from a total of more than 150 SPNs. Built-in CAN receiver. 125/250/500/1000 Kbps configurable. Configurable DMx error signals, priorities, source address, etc. Output connector: OBDII built into the equipment.
GASTRONIC is a compact equipment that simulates the electrical presence of a real 4, 6 or 8 cylinder engine. The information is displayed on a VGA screen and parameters such as RPM, camshaft, crankshaft position, injection, ignition, etc. are available on the front panel. The injector opening time can be modified and is fully programmable from a PC environment.
BEGAS ECU is BeGas’ technical solution to the slave control of the LPG system in the conversion of a vehicle. Available in mono and bifuel versions for 4 cylinders. They incorporate control of the vehicle’s fuel gauge, which in the monofuel case remains operational. Optional Bluetooth transmitter and built-in CAN nJ15764. Control of injection, LPG level, charging solenoid valve and safety functions, among others.
This project has funding from the CDTI and has been endorsed, given its technical and scientific interest, by the Higher Technical School of Industrial Engineers of the UPM and the UNED.
The project entitled “Development of tools, electronic unit of artificial intelligence and predictive diagnosis techniques for engines with alternative fuels LPG-CNG” and file number IDI-20160139 has been funded by the CENTER FOR INDUSTRIAL TECHNOLOGICAL DEVELOPMENT (CDTI), and co-financed by the EUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) through the Multiregional Operational Program for Smart Growth.
