Last week’s post surveyed the trend of integration between design exploration and optimization software and systems modeling and 0D/1D simulation tools. This week’s case study shows how the two technologies were used together in development of a new hybrid electric vehicle (HEV) to achieve the competing goals of improving fuel efficiency and meeting emissions targets.
Executive summary—A leading automotive OEM used Noesis Solutions’ Optimus design optimization and process integration software in conjunction with Maplesoft’s MapleSim multi-domain systems modeling and simulation tool in developing the HEV’s combined electric and combustion propulsion system. Optimus was used to automate the traditional guess-and-correct simulation-based design process, its optimization algorithms efficiently directing the system simulation campaign to identify the best HEV configurations. Using Optimus’ capabilities for design of experiments (DOE), response surface modeling (RSM) and multi-objective optimization (MOO), engineers improved fuel efficiency by 21% and traveling performance (legal emissions compliance) by 15%. With MapleSim providing HEV modeling and Optimus controlling simulation workflow execution, the design optimization was accomplished in just two weeks. Continue reading
Discussions of how to simulate early in product development fixate too often on FEA, overlooking the power of systems modeling and 0D/1D simulation for studying, exploring and optimizing designs at the beginning of projects, when product geometry is seldom available for 3D CAE but engineering decision-making can have its greatest impact and leverage on project success. Continue reading
If you use design space exploration software, we invite you to take our five-minute survey of satisfaction with your software and vendor, and the benefits you’re realizing, via one of the links below. In return you’ll receive a report of the findings that will let you benchmark your experiences against those of your peers and competitors. Your participation and responses are strictly confidential. Findings will be discussed in aggregate only; no information about individual responses will be released. This survey is our own undertaking and is not commissioned by, nor executed in cooperation with, any software vendor or other party.
To take the survey, click the link for the software you use. If you use more than one brand, take the survey for each brand you use. If you don’t see your software here, click the Other brand link and write in your brand where the survey asks for it. We value your input and look forward to sharing the findings with you.
Design space exploration is both a class of quantitative methods and a category of software tools for systematically and automatically exploring very large numbers of design alternatives and identifying those with the most optimal performance parameters. The mathematical techniques that underpin design space exploration have been long known—and sometimes applied, in cases where the attendant costs in expertise, time and labor could be justified. What’s changing now is the way fresh software technologies are at last converting these powerful but formerly difficult-to-use methods into practical everyday engineering aids. Continue reading