Engineering & Physics > AI
a single component and the interactions between the different units to meet these challenges. The only way to understand the system performance is through system- level simulations,” Tang said. The development of a battery EV
powertrain, for example, is another complex systems problem. Ansys Motor-CAD simulations were recently used to help engineers determine whether an interior permanent magnet (IPM), an induction magnet (IM) or a wound field synchronous magnet (WFSM) is the best motor design for an EV, examining the resulting trade-offs to identify the best solution.
Multiphysics solutions The e-motor and battery pack are both further examples of where multi-physics designs are required. The design and development of each system require an understanding of thermo-electric behaviour and cooling, in addition to traditional structural mechanics. Royston Jones, global head of automotive
at Altair, said: “Considering the tight limits on costs and the industry’s competitive time-to-market, developing innovative electric powertrains is a challenge for any manufacturer. Altair’s simulation optimisation technology can minimise weight and
increase performance by rapidly exploring thousands of design permutations.” Altair e-Motor Director lets users easily define a broad design space for a single baseline concept, where they can then copy, paste, and change design concepts to build a design of experiments (DoE) database with design information. The solution creates competitive motor designs while considering all project requirements, according to Jones, who said: “Altair e-Motor Director mixes the advantages of simulation- and data-driven design to weigh conflicting constraints from multiple physics so you can accelerate
‘Currently, the automotive industry is facing a big challenge from other industries and other locations looking for expertise’
Zed Tang, technical account director, Ansys
the development of cutting-edge e-powertrains.” “Altair e-Motor Director creates, manages, and stores study descriptions for multi-domain analyses, and handles design of experiments (DoE) data associated with your design studies. It also enables optimisation to identify a motor family or a specific motor based on a single DoE or multiple DoE studies.” But advancing automotive electrification
encompasses much more than a shift from an internal combustion engine (ICE) to battery power. Tang said: “Infrastructure, maintenance, and a host of other variables must be considered. Currently, the automotive industry is facing a big challenge from other industries and other locations looking for expertise.” Tang said: “There’s a workforce shortage
everywhere, but even more so on the electrification side. If automakers can’t hire enough engineers, they need to think of ways to empower their engineers to be more efficient and effective.”
Optimisation matters Optimisation is a key technology to help engineers who are working with increasingly tight deadlines and complex designs. Altair’s solutions in automotive vehicle development, such as multi-disciplinary optimisation (MDO), are designed to optimise “skateboard” platform designs for a wide range of use cases (including Battery EV, Hybrid EV, Plug-in Hybrid EV),
g
Summer 2023 Scientific Computing World 23
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