Abstract
In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel economy model for a light-duty vehicle adopting backward simulation method was developed, and it mainly consists of vehicle dynamic model, internal combustion engine model, transmission model, and differential model. The internal combustion engine model consists of the brake-specific fuel consumption maps as functions of engine torque and engine speed, and the brake-specific fuel consumption map near sea level was constructed based on engine experimental data, and the brake-specific fuel consumption maps at high altitudes were calculated by GT-Power Modeling of the internal combustion engine. The fuel consumption rate was calculated from the brake-specific fuel consumption maps and brake power and used to calculate the fuel economy of the light-duty vehicle. The model predicted fuel consumption data met well with the test results, and the model prediction errors are within 5%.
Highlights
Vehicle fuel economy and emissions are influenced by many parameters, including vehicle-related factors such as model, make, mass, size, fuel type, technology level, and mileage,[1] and operating factors such as speed, acceleration, deceleration, gear shift, road gradient, and ambient conditions including headwind, ambient pressure and temperature, and so on.[2]
The results showed that vehicle fuel consumption per 100 km increases with vehicle speed due to the increased driving resistances, no matter how high the altitude of the test sites is
The model predicted fuel consumption data met well with the test results, and the model prediction errors are within 5%
Summary
Vehicle fuel economy and emissions are influenced by many parameters, including vehicle-related factors such as model, make, mass, size, fuel type, technology level, and mileage,[1] and operating factors such as speed, acceleration, deceleration, gear shift, road gradient, and ambient conditions including headwind, ambient pressure and temperature, and so on.[2]. Keywords Light-duty vehicle, fuel economy, coast-down test, model prediction, high altitude The engine performance will deteriorate at high-altitude areas, the vehicle driving resistance will decrease due to decreased air pressure and density with the increase in the altitude.
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