MASTA For EV+HEV
The CAE software suite for the design, simulation and analysis of advanced transmission systems.
The global electric vehicles market is projected to grow very significantly, primarily driven by the need for eco-friendly alternatives for transportation.
Electrification now lies at the topical forefront of the automotive industry.
In turn, SMT have focused on developing the MASTA software package to encompass electrification, allowing users the ability to analyse and optimise the drivetrain for an electric machine.
Recent years have seen an increasing focus on the noise impact of the gearing required for the transmission of power from the (high speed) electric motor to the road.
NVH issues often arise at prototyping and in-vehicle installation phase, in which time-scales for solutions are short and commercial pressures are high.
SMT have developed methodologies in which NVH issues can be addressed at the development and design phases – through a combination of detailed measurement and computer aided engineering solutions.
The demand for a deeper understanding of the noise reduction methodologies in all drivetrain components is driven by a combination of industry regulations and customer expectations.
Hub E-Drive found to be too noisy as installed in production bus with high unit-to-unit variability
Significant noise reductions achieved in prototypes, understanding of manufacturing changes to be implemented to maintain this
In the latest issue of Gear Technology, the software and research team at SMT have produced a technical paper on “Electric Vehicle Whine Noise – Gear Blank Tuning as an Optimization Option”.
This article reviews noise issues from gear and motor excitation that are commonly faced by many within the EV and HEV industry.
The authors include SMT’s Owen Harris, Director of Research; Paul Langlois, Software Engineering Director and Andy Gale, Research Engineer who present an advanced CAE methodology for troubleshooting and optimizing for such NVH phenomenon.
MASTA’s comprehensive functionality facilitates the design and analysis of EV and HEV drivetrains that include electric machines.
Users can import the speed-dependant dynamic load data, including torque ripple and stator tooth loads, from test data or a 3rd-party electric machine modelling program.
Then MASTA can be used to simulate & analyse the response of the model against the excitations from the electric machine
Packed with new and updated functionality, MASTA 14 aims to revolutionise your CAE experience.
MASTA is made up of a core module and over 75 additional modules.
There are a range of modules available in MASTA that solve specific engineering challenges.
MASTA focuses on the system level integration of motor and gearbox.