Argonne National Laboratory's Powertrain System Analysis Toolkit (PSAT) enables designers to overcome time and cost constraints for advanced vehicle design, such as hybrid and fuel cell vehicles. Because it would be impossible to build and test every different powertrain option manually, PSAT provides the modeling and simulation capabilities for automotive designers to quickly examine the multitudes of possible configurations and understand the impacts of performance and fuel economy. googletag.cmd.push(function() googletag.display('div-gpt-ad-1449240174198-2'); ); "PSAT is rapidly becoming the powertrain simulation tool of choice for both the OEMs and their suppliers to select appropriate advanced technologies and bring them to market faster" stated Larry Johnson, Director of Argonne's Transportation Technology R&D Center. "The next generation of engineers will rely on PSAT as more and more universities incorporate PSAT into their curricula.""OEM's have limited resources and research funds for new technologies. We have to pick and choose very carefully where we put our money and in what technology. In PSAT, DOE and Argonne have developed a tool that helps speed up the process and allows us to look at many different technologies much sooner than we would otherwise. We need a model that's intuitive, easy to use, and provides accurate results. PSAT gives us that." Randy Yost, Engineering Specialist, General MotorsThe latest Powertrain System Analysis Toolkit (PSAT V6.1) includes many new features and improvements. These changes were driven by user feedback in industry and universities. Some of the enhancements include: the ability to implement any proprietary component models, data sets, control strategies or drive cycles through the interactive graphical user interface; simple differentiation between light duty and heavy duty vehicle simulation; enhanced component models and data components; html report of simulations and tests."PSAT is a unique forward looking model which realistically simulates fuel economy and performance of advanced vehicles" said Don Hillebrand, Director of Argonne's Center for Transportation Research. "This comprehensive model accounts for transient behavior and control system characteristics from the driver to the wheels."Aymeric Rousseau, PSAT team lead at Argonne stated, "PSAT can simulate an unrivaled number of pre-defined vehicle configurations including: conventional, electric, fuel cell, series hybrid, parallel hybrid, and power split hybrid and offers a wide range of analysis tools to facilitate the understanding of complex power trains."Source: Argonne National Laboratory Citation:ANL releases award-winning vehicle simulation modeling software (2006, December 20)retrieved 7 February 2023from -12-anl-award-winning-vehicle-simulation-software.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. 0 shares Facebook
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Abstract:In this paper, we present a transition journey of automotive software architecture design from using legacy approaches and toolchains to employing new modeling capabilities in the recent releases of Matlab/Simulink (M/S). We present the seamless approach that we have employed for the software architecture modeling of a mixed-critical electric powertrain controller which runs on a multi-core hardware platform. With our approach, we can achieve bidirectional traceability along with a powerful authoring process, implement a detailed model-based software architecture design of AUTOSAR system including a detailed data dictionary, and carry out umpteen number of proof-of-concept studies, what-if scenario simulations and performance tuning of safety software. In this context, we discuss an industrial case study employing valuable lessons learned, our experience reports providing novel insights and best practices followed.Keywords: model-driven software engineering; software architecture modeling; systems engineering; modeling tool; best practices; electric vehicle powertrain; AUTOSAR
A PC-based OBD analysis tool that converts the OBD-II signals to serial data (USB or serial port) standard to PCs or Macs. The software then decodes the received data to a visual display. Many popular interfaces are based on the ELM327 or STN[33] OBD Interpreter ICs, both of which read all five generic OBD-II protocols. Some adapters now use the J2534 API allowing them to access OBD-II Protocols for both cars and trucks.
WESTMONT, IL OCTOBER 3, 2022 Gamma Technologies (GT), a global leader and innovator in multi-physics system simulation software, is pleased to welcome innovative carmaker, Czinger Vehicles (Czinger), as one of its most recent clients to standardize virtual design and optimization on GT-SUITE. Czinger will use GT-SUITE simulations for the advanced hybrid powertrain of its 21C hypercar.
PowerFactory is a leading power system analysis software application for use in analysing generation, transmission, distribution and industrial systems. It covers the full range of functionality from standard features to highly sophisticated and advanced applications including windpower, distributed generation, real-time simulation and performance monitoring for system testing and supervision.
As the world's most famous and widely used Multibody Dynamics (MBD) software, Adams improves engineering efficiency and reduces product development costs by enabling early system-level design validation. Engineers can evaluate and manage the complex interactions between disciplines including motion, structures, actuation, and controls to better optimize product designs for performance, safety, and comfort. Along with extensive analysis capabilities, Adams is optimized for large-scale problems, taking advantage of high performance computing environments.
When it comes to the longer term of over ten years, we see a slight uptick in expected innovation from EV entrants. Nearly three-quarters (73%) of automotive leaders believe that innovation will be led by new EV market entrants, while 69% expect it to stem from traditional automotive/commercial vehicle OEMs, 66% from automotive battery manufacturers and 51% from tier-one suppliers. In contrast, only 17% believe EV powertrain innovation will come from software companies and 8% from lower-tier niche suppliers.
Apart from the mechanical power source in e-mobility products, i.e., the electric motor, a crucial part of the system are the power transmission components. Here, gears are, in general, the most dominant and widely used components for transmitting rotational motion and power, as well as achieving various required transmission ratios. High-performance gearing design, especially when non-metal materials such as polymers and composites are used, is a complex task that requires extensive know-how and the involvement of numerous digital and numerical tools such as CAD, Finite element analysis, standards-based computational tools, etc. Gears are prone to many different damage modes during operation, induced by applied load conditions, selected geometries, materials, lubrication conditions [48] and even secondary influencing factors such as housing vibrations [49]. Depending on these factors, non-metal gears mainly fail due to the following mechanisms: wear [50,51,52], root fatigue [53,54,55], flank fatigue [56,57], thermal overload [55,58] and pitting [59]. In metal gears, while thermal failure is not a crucial issue, the other failure mechanisms are indeed possible and often observed in addition to scuffing [60], spalling [61] and other. Often, research studies are limited to analyzing single gear pairs with specific material and lubrication condition selections. In real-life applications, however, the powertrain is often composed of multiple stages and complex gear configurations such as, e.g., planetary gearings. Several studies have focused on the whole system analysis of multistage gears or planetary gear transmissions using various experimental and numerical approaches [62,63,64,65,66]. Numerical analysis methods offer an indispensable tool for the implementation of agile product development in powertrain design. Experimental diagnostics methods are also crucial in assessing the developed product in the physical prototype form. However, in order to achieve optimal, i.e., the shortest possible development cycles, it is crucial to perform testing and material characterization on a base component level (following relevant standards and guidelines) before or during the initial development phases, thus obtaining all the required material data for a robust powertrain design, and minimizing the number of required physical prototypes.
Generally, the technical requirements upgrade occurred at the end of the sprint, after the presentation of product development was performed. The second modification was triggered by a benchmarking analysis. One of the products on the market offered a powertrain with better performance than in the original technical requirements. 2ff7e9595c
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