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.
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:
May 10, 2023
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.
January 28, 2020
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
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:
November 20, 2019
Optimization of lithium-ion batteries microstructure to improve their overall performance and using Data Fusion to build accurate predictive models of battery properties for different applications without heavy simulations.
by Kenta Aoshima, SCSK Corporation, translated from Japanese by Yulia Bogdanova, DATADVANCE
July 29, 2019
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
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.
June 9, 2023
pSeven based project that allowed create an automated workflow for parametric analysis and optimization of car suspension dampers in order to ensure passenger vibration comfort and smooth vehicle behavior on the road.
May 23, 2023
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.
June 16, 2021
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.
December 5, 2016
The customer used to fit formula’s coefficients with a standard optimization algorithm, which made Formula 1 vehicle’s tire calibration process time-consuming. Explore the example of how pSeven accelerated this process form 24 to just 1 hour.
Watch the recordings of our annual event for the customers and professionals from the industry interested in pSeven products. Presentations from Liebherr - Aerospace, Safran Tech, CGI, CIMdata, PDTec and others are available.