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 today are the development of electric vehicles and autonomous driving systems, fuel economy & emissions regulation, warranty expenses reduction, shortening product development cycles and reducing costs of production.
pSeven and pSeven Enterprise enable OEMs and part manufacturers (powertrain, transmission, chassis, electronics, HVAC, batteries, etc.) to address mentioned above challenges and allow to:
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 and pSeven Enterprise offer 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:
Fast and accurate predictive models for system level simulation and Multidisciplinary Design Optimization with pSeven and pSeven Enterprise empower electric vehicles manufacturers to develop efficient and reliable electric vehicles’ components by meeting key success factors:
pSeven helps the developers of advanced 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 test beds in the virtual testing environment with a variety of real-world driving scenarios. Fully automated workflows, Adaptive DoE technique and predictive modeling toolkit 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.
pSeven Enterprise, a cloud-native low-code platform, 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.
pSeven based project for Formula Student, a student engineering competition held annually all over the world. The results allowed increasing the accuracy of the mathematical model of the longitudinal movement of the racing car, which even closer brought it to the real model of the car's behavior on the track.
Benefits of optimization with parametric mesh morphing: ANSA and META integration in pSeven. The Use Case that demonstrates the benefits of parametric mesh morphing in optimization studies compared to the typical CAD-based parameterization of geometry modifications.
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.
Michael S. Murgai, Executive Board Member, PDTec
pSeven User Conference 2023
Donald Tolle, Director, Simulation-Driven Systems Development Practice
pSeven User Conference 2022
Joan Mas Colomer, Application engineer, on behalf of Manitou company
pSeven User Conference 2022
Güven Nergiz, CFD Engineer, BIAS
pSeven User Conference 2022
Mark Norris, CEng MIMechE MBA, theSDMconsultancy
pSeven User Conference 2022
Antoine Porot, R&D Engineer, Simulation Specialist, LEONI
DATADVANCE User Conference 2020