Developing a Solution to Utilize Vehicle Dynamics Simulation Tools with a Motion Driving Simulator

dc.contributor.authorMadhava Prakash, Ajit Kumar
dc.contributor.authorGarje Mohankumar, Anup
dc.contributor.authorMisquith, Clive Rahul
dc.contributor.authorGanatra, Diler Paresh
dc.contributor.authorSoudagar, Irfan Ahmed Khan
dc.contributor.authorJohnsson, Jonas
dc.contributor.departmentChalmers tekniska högskola // Institutionen för mekanik och maritima vetenskapersv
dc.contributor.examinerSjöblom, Jonas
dc.contributor.supervisorJohansson, Ingemar
dc.contributor.supervisorJacobson, Bengt
dc.date.accessioned2021-02-26T15:58:41Z
dc.date.available2021-02-26T15:58:41Z
dc.date.issued2021sv
dc.date.submitted2020
dc.description.abstractThe project develops a method to integrate a CAE software (IPG CarMaker) vehicle model into the CASTER driving simulator. The vehicle dynamics performance is assessed by comparing CarMaker (CM) simulation data against the driving simulator data. First, a baseline generic passenger SUV was modeled on CM with K&C parameters that resemble a real-world vehicle. Then, the driving scenarios and maneuvers such as steady state cornering [6] and double lane change [5] were modeled on CM. Alongside this, IPG Movie and CM for Simulink were used to create real driving scenarios with accurate driving views. Next, the baseline vehicle was simulated in CM and driven on the simulator for both maneuvers. Driver input signals from the driving simulator were fed into CM through CM for Simulink to run the physics of the vehicle model. The output signals computed by CM were fed to the driving simulator to provide motion, audio and visual cues. The integration tool was developed to introduce it in the early phase of vehicle development. The software simulation provides good objective data but no subjective assessment. The use of DIL-simulator is a good method to add subjective assessment in vehicle dynamics development. After every maneuver run, driver’s subjective assessment and rating was recorded. A statistical and graphical comparison of objective data between CM simulation and driving simulator drivers. Analysis of this data showed there is good correlation between results from CM simulations and the driving simulator. Then, vehicle parameter variations were made to understand the vehicle dynamics performance objectively and subjectively. For each model variation, a CM simulation and driving simulator test was carried out by multiple drivers. The vehicle specification variations were designed to produce changes in the steering feel and controllability. This indicates that the driving simulator is a viable supplement to prototype testing, however, further studies must be made to validate the preliminary conclusion. In reality, vehicle evaluations are performed by highly skilled test drivers with accurate subjective assessments. The project yields a tool to develop and evaluate the vehicle dynamics performance. In the hands of a professional driver, this will produce good subjective assessment that ties in with the objective metrics, thus validating it’s use as a cost effective and time efficient tool to develop vehicles.sv
dc.identifier.coursecodeTME180sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/302235
dc.language.isoengsv
dc.relation.ispartofseries2021:01sv
dc.subjectVehicle Dynamicssv
dc.subjectCarMakersv
dc.subjectSimulinksv
dc.subjectSimulatorsv
dc.subjectDILsv
dc.subjectvehicle testingsv
dc.subjectsubjective assessmentsv
dc.subjectobjective metricssv
dc.subjectsteady state corneringsv
dc.subjectdouble lane changesv
dc.subjectmotion platformsv
dc.titleDeveloping a Solution to Utilize Vehicle Dynamics Simulation Tools with a Motion Driving Simulatorsv
dc.type.degreeProjektarbete, avancerad nivåsv
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