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Technical Paper

Development of A Dynamic Modeling Framework to Predict Instantaneous Status of Towing Vehicle Systems

2017-03-28
2017-01-1588
A dynamic modeling framework was established to predict status (position, displacement, velocity, acceleration, and shape) of a towed vehicle system with different driver inputs. This framework consists of three components: (1) a state space model to decide position and velocity for the vehicle system based on Newton’s second law; (2) an angular acceleration transferring model, which leads to a hypothesis that the each towed unit follows the same path as the towing vehicle; and (3) a polygon model to draw instantaneous polygons to envelop the entire system at any time point. Input parameters of this model include initial conditions of the system, real-time locations of a reference point (e.g. front center of the towing vehicle) that can be determined from a beacon and radar system, and instantaneous accelerations of this system, which come from driver maneuvers (accelerating, braking, steering, etc.) can be read from a data acquisition system installed on the towing vehicle.
Technical Paper

Mississippi State University EcoCAR 2 Final Technical Report

2013-10-14
2013-01-2489
EcoCAR 2: Plugging Into the Future is a three-year collegiate design competition challenging student teams to redesign a stock 2013 Chevrolet Malibu as a hybrid to improve its fuel economy and emissions. Mississippi State University, an eight-year veteran of AVTC competitions, has chosen to design a series-parallel plug-in hybrid electric vehicle. During the Year Two phase of the competition, the team has been implementing their design from Year One into the stock vehicle.
Technical Paper

Powertrain Analysis and Computational Environment (PACE) for Multi-Physics Simulations Using High Performance Computing

2016-04-05
2016-01-0308
The Powertrain Analysis and Computational Environment (PACE) is a forward-looking powertrain simulation tool that is ready for a High-Performance Computing (HPC) environment. The code, written in C++, is one actor in a comprehensive ground vehicle co-simulation architecture being developed by the CREATE-GV program. PACE provides an advanced behavioral modeling capability for the powertrain subsystem of a conventional or hybrid-electric vehicle that exploits the idea of reusable vehicle modeling that underpins the Autonomie modeling environment developed by the Argonne National Laboratory. PACE permits the user to define a powertrain in Autonomie, which requires a single desktop license for MATLAB/Simulink, and port it to a cluster computer where PACE runs with an open-source BSD-3 license so that it can be distributed to as many nodes as needed.
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