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A METHOD TO INFER FUEL TYPE CHARACTERISTICS VIA THE INFORMATION CLOUD

IP.com Disclosure Number: IPCOM000235632D
Publication Date: 2014-Mar-14
Document File: 1 page(s) / 379K

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The IP.com Prior Art Database

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A METHOD TO INFER FUEL TYPE CHARACTERISTICS VIA THE INFORMATION CLOUD

Vehicles sold in North America are required to perform diagnostics on various powertrain subsystems. Fuel type characteristics such as octane level, % ethanol, and RVP is a major unknown factor in most vehicles and the fuel type differs from state to state, see map below. PCM strategies have to infer the fuel characteristics from combustion event feedback (O2) sensors.Many powertrain control features (spark, fueling, knock) need knowledge of the fuel type in order to function properly.OBDII diagnostics (misfire, Evap) also need fuel type knowledge for monitor robustness reasons. The Evap diagnostics needs to know the fuel RVP (summer vs. winter fuel) in order to adjust pass/fail thresholds accordingly. Misfire needs knowledge of % ethanol and octane type.Currently, PCM strategy attempts to infer some fuel characteristics such as % ethanol. However, this inference can have errors in it and only works in a combusting engine. In HEV, the inference may not be available at times due to limited engine run time.

Method

The novelty of the invention is to leverage existing vehicle infotainment systems with modem connectivity to obtain the fuel characteristics for a particular gas station. Currently, infotainment devices such as "IntelliLink", "MyFordTouch", "Entune", etc. may display fuel prices for nearby gas stations. In addition to retrieving gas stations fuel prices from the information cloud, f...