Browse Publications Technical Papers 2015-01-2253

Power Plant Model of Fuel Consumption and Vibration for Vehicle Concept Planning 2015-01-2253

It is important for vehicle concept planning to estimate fuel economy and the influence of vehicle vibration in advance. This can be accomplished using virtual engine specifications and a virtual vehicle frame. In this paper, I will show the power plant model with electric starter and battery that can predict fuel economy, combustion heat results and transient torque. The power plant is a 1.3L 4cyl designed for NA Spark Ignition. The power plant model was realized using an energy based model using VHDL-AMS. Here, VHDL-AMS is modeling language stored in IEC international standard (IEC61691-6) and can realize multi physics in 1D simulation. The modeling language supports electrical, magnetic, thermal, mechanical, fluidic and compressive fluidic domains. The model was created in house using VHDL-AMS and validated on ANSYS SIMPLORER. The simulated results of fuel energy consumption agreed with driving energy and amount of energy losses, e.g. cooling loss, exhaust loss. The simulation results of fuel efficiency and cooling loss power agreed with validated engine data in a wide operating range. The model has possibility of analysis extended from static to dynamic transient operation such as influence of vehicle vibration caused by torque fluctuation.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:

A Scalable Modeling Approach for the Simulation and Design Optimization of Automotive Turbochargers


View Details


A Study of Vehicle Fuel Economy Improvement Potential by Optimization of the Cooling and Ancillary Systems of a Heavy Duty Engine


View Details


Model-Based Control of Diesel Engines for Fuel Efficiency Optimization


View Details