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Trip Based Modeling Of Fuel Consumption In Modern Heavy-Duty Vehicles Using Artificial Intelligence, Sasanka Katreddi, Arvind Thiruvengadam
Trip Based Modeling Of Fuel Consumption In Modern Heavy-Duty Vehicles Using Artificial Intelligence, Sasanka Katreddi, Arvind Thiruvengadam
Faculty & Staff Scholarship
Heavy-duty trucks contribute approximately 20% of fuel consumption in the United States of America (USA). The fuel economy of heavy-duty vehicles (HDV) is affected by several real-world parameters like road parameters, driver behavior, weather conditions, and vehicle parameters, etc. Although modern vehicles comply with emissions regulations, potential malfunction of the engine, regular wear and tear, or other factors could affect vehicle performance. Predicting fuel consumption per trip based on dynamic on-road data can help the automotive industry to reduce the cost and time for on-road testing. Data modeling can easily help to diagnose the reason behind fuel consumption with a …