Automotive

The main task in the automotive industry is to organize a nonstop development of safer, better performing and more appealing vehicles within strict timelines and limited budgets. Key automotive challenges are fuel economy & emissions regulation, warranty expenses reduction, shortening product development cycles and reducing costs of production, growing need for systems modelling as well as the development of electric vehicles and autonomous driving systems.

DATADVANCE solutions enable OEMs and part manufacturers (powertrain, transmission, chassis, electronics, HVAC, batteries, etc.) to address these challenges. pSeven helps automotive engineers to:

Find the best product design parameters, Design reliable and robust products with advanced Design Space Exploration techniques including parametric Optimization.
Increase efficiency and enhance collaboration between engineers from different departments with run-ready collaborative workflows.
Reduce number of test runs, experiments, and simulations thanks to predictive ML/AI models built from simulation data or experimental measurements.
Reduce number of driving scenario simulations for ADAS system development.
Fasten 0D/1D systems simulation with 3D discipline models by creating and importing surrogate models to Systems Engineering software in C or FMI format for co-simulation.
Improve simulation reliability by recalibrating models on test bench data (data matching).
Identify problem and reduce product defects with the help of sensitivity analysis to identify input parameters and/or their combinations that affect quality the most
Get extra insights from data to improve the next generation design by analyzing data collected by in-operation sensors.
Explore the limits of engine operating range using adaptive Design Space Exploration and AI predictions.

Time & Cost Reduction to Get Optimal Designs

Automotive design process requires implementation of automated simulation workflows into development processes that consider different multidisciplinary effects and overall behavior of the system, like aerodynamics, combustion, acoustic, vibration and harshness (NVH), durability and other attributes. pSeven allows organizing run-ready and collaborative workflows and offers predictive modeling, design optimization and SmartSelection technology (algorithms auto selection and tuning) to improve collaboration between departments and engineers and ultimately lead to development cycle and cost reduction. It can help identifying the ultimate vehicle body geometry and equipment characteristics, including optimization of:

External aerodynamics to reduce drag
Vehicle body elements and exhaust systems to reduce weight and minimize NVH
Radiator and heat exchangers geometry to reduce size and maximize heat transfer
Impellers in the turbocharger to maximize efficiency
Catalytic converter geometry to reduce emissions
Breaks geometry and materials to reduce squeal
Electric motor efficiency in different operating conditions
HVAC systems to enhance temperature and moisture comfort
Cams geometry to enhance shape of lift, velocity, acceleration, jerk curves and dozens of other characteristics in valve train
Valve and intake/exhaust channels geometry to enhance in-cylinder flows
Piston head geometry to enhance combustion
Car seat structures to reduce weight and improve reliability.

Electric Vehicles Development

Fast and accurate predictive models for system level simulation and Multidisciplinary Design Optimization with pSeven empower electric vehicles manufacturers to develop efficient and reliable electric vehicles’ components by meeting key success factors:

Keeping the energy balance
Making the traction motor highly efficient
Reducing battery cost and increasing life
Improve thermal/cooling efficiency of EV batteries
and more.

Solutions for Autonomous Driving

DATADVANCE helps the developers of driver assistance systems and automated driving design safe, convenient and efficient systems by the means of predictive models for operating systems and fully automated workflows. pSeven enables scalable testbeds in the virtual testing environment with a variety of real-world driving scenarios. Fully automated workflows, Adaptive DoE technique and predictive modeling toolkit of pSeven ensure full automation of the virtual testing, adaptive exploration and flexible setup of driving scenarios, collecting, storing and reusing the data. Reuse of automated workflows reduces the effort during further testing. Solution can be deployed on-premises or in the Cloud to leverage additional computing power on-demand. Combining power of aDoE which globally reduces number of simulations on one hand, with scalable power of Cloud architecture on the other hand, can lead to drastic cycle reduction for ADAS validation campaigns.

Systems Modeling

Growing need for systems modeling, sharing information and models in simple and understandable way and preserving intellectual property rights: fast and robust predictive models can answer this need and drastically speed up system simulation. Models created in pSeven from simulation, analytical and experimental data can be exported for use in external software products like Systems Engineering modeling software via C, FMU or native format for co-simulation, or can be sent to contractors to develop auxiliary equipment.

Do you have any questions? Click below to contact our experts
and discover DATADVANCE solutions for automotive!

December 29, 2022

Optimization Study of Bumper Structure

Recording of the presentation "Optimization Study of Bumper Structure" by Güven Nergiz, CFD Engineer, BIAS

June 16, 2021

Webinar recording: Virtual Optimization of Suspension Parameters using Adams Car and pSeven

Joint webinar by MSC Software and Datadvance covering the benefits of integration between Adams Car and pSeven via an industrial use-case involving the optimization of an automotive suspension damper.

February 10, 2021

Webinar recording "ANSA and META interaction with pSeven: benefits of optimization with parametric mesh morphing"

The recording of a joint webinar with BETA CAE Systems, simulation solutions provider and engineering technology partner of DATADVANCE

October 9, 2020

Recording of Presentation "Design Space Exploration for Harness Components" by LEONI at DUC2020

Presentation by Antoine Porot, R&D Engineer, Simulation Specialist, LEONI.

January 28, 2020

Mechanical Support Optimization with Tight Simulation Budget

Learn how to leverage simulation toolchain automation and data analysis to develop a process to improve design performances of a mechanical support of PCB in automotive.

By Martin Pauthenet, Application Engineer, DATADVANCE and Ciprian Crisan, Thermomechanical Simulation Engineer, Vitesco Technologies

July 29, 2019

Virtual Test Bed Automation and Adaptive Exploration of Driving Scenarios Using pSeven

Automated reusable workflow, Adaptive DoE techniques and Predictive Modeling toolkit of pSeven ensured a full automation of the virtual testing, its’ flexible setup, execution, collecting, storing and reusing data.

Anton Saratov, DATADVANCE and Leonhard Herrmann, FDTech

July 6, 2018

Creating Internal Combustion Approximation Model for Mitsubishi Motors

DATADVANCE constructed an approximation model for Mitsubishi Motors to predict internal combustion pressure model parameters.

By Dmitry Frolov, Marketing Director, DATADVANCE

April 9, 2018

pSeven Beats MOPTA08 Automotive Benchmark

pSeven performs on MOPTA08 multidisciplinary design optimization benchmark introduced by Don Jones from General Motors.