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With the automotive industry moving toward model based development approach, detailed model integration plays an important role in the process. In comparison to map-based models, detailed models have higher fidelity with the results being more accurate & repeatable. High fidelity models are significant as it allows for early design validation through experimentation. The primary objective of this study is to develop a co-simulation between the transmission black box in Simulink and the vehicle model in GT-Suite. The secondary objective of this study is to understand the difference in the fidelity of the map based transmission model and the detailed transmission model. For the detailed transmission model, the transmission black box provided by the supplier, is a comprehensive model setup in the Simulink platform. The co-simulation is initialized from Simulink, where in Simulink acts as the primary platform.

The paper presents an approach used to generate a customer-oriented drive cycle using the MATLAB-based drive cycle generation tool for EVs developed by Isuzu Technical Center of America. The drive cycle generation tool extracts important features from the customer vehicle data and compares it with the globally used pre-existing candidate cycle to generate a representative drive cycle. The tool can read multiple file formats of preprocessed data or raw data from the vehicle telematics systems. This data is then processed using a unique and efficient algorithm developed by the Isuzu engineers, calculating seven important vehicle dynamic parameters. These selected parameters are compared with the pre-existing candidate cycles used across the globe in multiple iterations to generate a custom representative drive cycle that best fits real-world customer driving behavior.

When commercial vehicles have less than ideal lateral dynamics traveling at high speeds, those dynamics can sometimes be a significant factor in serious and fatal accidents that occur. The primary goal of this study was to create a validated vehicle dynamics model to aid in handling evaluations and a validated model that can play an important role in accurately predicting the movement of the vehicle in limit conditions. The model is used to simulate the effect on roll gradient by altering spring stiffnesses and adding a rear stabilizer for a class 6 or class 7 commercial vehicle (CV). Outputs from 4-post Kinematics & Compliance (K&C) tests of a prototype vehicle were used to model the suspension system. The tire model was developed in collaboration with Calspan [1] using physical tire testing. The vehicle masses, inertias and stiffnesses were modelled using IPG TruckMaker for Simulink (TM4SL) [2].