Conceptual Design and optimization of an Electric Motor

1. FEA Explicit Dynamic for Drop Impact Simulation Using Altair Radioss　 2. Multi parameter Sensitivity Analysis & Deterministic Design Optimization on A/C Outdoor Unit. 3. Uncertainty Quantification & Reliability Based Design Optimization 2D CFD Case Study

Digital Twin is enjoying a breakthrough, fueled by advances in the sophisticated use of physics-based simulation models of varying fidelities. Connected and informed by data from the field with the help of artificial intelligence, Leonardo S.p.A. validates the performance of product systems virtually in the early stages of design to accelerate the development of their next generation of products.

Dactem (a DAM group company), developer of specialist test, measurement and assembly solutions for the aerospace industries, presents an overview of the optimization of a thrust balance used for accurate measurements in electrical thruster qualification endurance testing. The presentation will provide details on how a Multiphysics simulation approach was used to find the optimum design taking mechanical, thermal and electromagnetic performance into account. Speakers: Emmanuel Pouleau, CEO, Dactem (a DAM Group company) Pierre Moutet, Engineer, Dactem (a DAM Group company) Duration: 15 minutes

Electrification is everywhere! It brings energy efficiency into systems and also helps add new smart functionalities to products. The electric motor is a key element of such systems, converting electricity into mechanical power. It is multiphysics by nature. Electric machine engineers need to take into account various constraints from the early stage of the design, looking at electromechanical performance, as well as respecting thermal and NVH constraints. Simulations need to integrate these multiple physics and also coupling effects. Dedicated tools and streamlined multiphysics workflows are developed in order to reduce complexity and speed up the design. Speakers: Limin Huang, Electromechanical Engineer, Altair Samia Saaidi, Senior Technical Specialist - Electromechanical Solutions, Altair Duration: 20 minutes

This presentation is an overview of Rizel Automotive’s R&D journey towards developing an efficient and cost-effective Motor Platform with optimum characteristics for the automotive EV Space using Altair’s tools to solve electromagnetic, structural, NVH, and Thermal challenges and validate the Digital Designs and through Physical Testing. All the way through the design process, Altair tools helped us in solving the complex problems which solve the core electric motor problems; like inductances calculation, cogging torque optimization, D axis conditioning, model analysis, transient thermal analysis which helped us in understanding and validating our analytical design and research. With the help of Altair tools, we were able to implement and validate our novel ideas related to thermal design and come up with a unique motor architecture without compromising on electromagnetics. In this process, we have designed one of the lightest and compact radial flux motors in the industry. Easy to use software from Altair, with a simple interface and automation tools; helped us to iterate, fine-tune our motors with high accuracy and a much quicker pace. And helped us to engineer a powerful yet silent and cooler but efficient motor. From our recent dyno testing at ARAI, we were able to match the simulated data to dyno test results with a deviance of less than 5%, giving us great confidence in our Simulation Techniques and Altair’s tools, helping us decrease the Time to Enter the Market.

AAM has been providing mechanical drivelines to automotive customers for more than 25 years. As the automobile transitions to electrification, so too must the driveline. AAM has developed a suite of innovative, lightweight, compact and cost-optimized electric drive units and electric beam axles to meet the growing global technology demand as electric vehicles continue to expand over the next decade. Engineering simulation, optimization and validation tools were significant enablers to increase the validation confidence and reduce the time to market for these new products.

Sustainable designs last longer. David Yáñez from Vortex Bladeless, a Spanish start-up, shares his vision of the technology, the strategies used for the integration of the different physical phenomena involved in the simulation-driven design, and the development of their resonating structures having minimal parts susceptible to wear by friction. The simulation results from CFD, with fluid-structure interaction, and electromagnetic field simulation are compared with experimental wind tunnel results and from in-service environments.

The ever-advancing digitization is being driven by the convergence of simulation, data, and HPC. While virtual methods, interoperable tools, and standardized interfaces become state of the art, the engineers and their management will play a significant role to break down silos and benefit from a Digital Thread. In this fireside chat, we will discuss the importance of people to unleash the potential of Digital Twins, how they can combine the different fields of product development and what is still missing to make the connection.

Gaining insights into a product’s performances has never been easier. With the HyperWorks Design Explorer, users can easily set up and execute the design of experiments (DOE) and optimization studies, learning which attributes contribute the most to the different performances, review, plot, and compare results from multiple runs, and ultimately identify optimal designs. The quick and easy setup process is solver independent, yet fully integrated with Altair’s structural analysis solutions. On the other hand, many design specifications are quantifiable and can be confirmed by physics but optimizing a design for subjective design requirements such as the look and feel of a product requires a different approach. This is when expertAI can help. It uses machine learning to enable you to include criteria that have traditionally been considered purely subjective or expert-driven in design optimization. The AI algorithms cluster your designs with respect to their subjective behaviors allowing them to be labeled to train a model aligned with your preferences.

Altair products are quickly evolving into AI-driven products. Starting from the modeling and visualization products, the latest release of Altair HyperWorks includes features like shapeAI, which quickly finds and classifies parts “by shape” inside geometry files or finite element meshes - when you want to locate all of the bolts, shafts, and gears in a complex assembly - by applying machine learning.

What makes artificial intelligence a game changer is not what movies depict with the loud destructive powers of artificially intelligent robots. It’s the opposite, it is the silent creative destruction that it brings as apps in our phones or features in the tools that we use such as spam filters, fraud detectors, and recommendation engines. When combined, these tools make our lives more enjoyable, safe, and productive. In a similar spirit, at Altair, we have been working on powering product design and development with AI to make your work lives more enjoyable, and productive. Our focus has been improving processes and outcomes by reducing repetitive, labor-intensive, non-value-added tasks as well as emulating experts and enriching performance predictions with real-time field predictions. What makes these offerings unique is their no-code integration to the tools that you are already familiar with and hence not requiring you to have to leave your own working environment. In this presentation, examples of such AI-Powered product design processes will be demonstrated. The presentation by Dr. Fatma Kocer, VP of Engineering Data Science at Altair, aired at Future.AI in June 2021, and is almost 30 minutes long. Ready to see how your company can drive innovation with AI-powered design? Contact our solutions experts today. View all Future.AI 2021 Presentations

Dr. Fatma Kocer VP, Engineering Data Science at Altair showcases the impact of AI in development environments. In particular on how CAE tools will evolve and Design Exploration is taken to the next level.

Benoit Pelourdeau presents how Stanley Robotics SAS drives the design process with simulation, to develop the world's first robotic car storage service. Learn from him how the interdisciplinary mechatronic product development team succeeds with accurate virtual prototypes.

Simon Zwingert, Technical Consultant, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how, to improve the design with studies and the design exploration on the complete assembly to perform weld line optimization.

Indradev Babu, Managing Director, UCAM PVT LTD, explains how he developed a CNC Jobshop to the largest manufacturer of CNC Rotary tables—presenting different development examples, he explains how Simulation Driven Design helps him to differentiate and what simulation Strategies he implements in the customer-centric development for the following generation Machine Tools at UCAM.

Mayer & Cie. GmbH & Co. KG sets simulation as a central element of the digital development strategy and leverages virtual product development for more efficient machine generations. Marcel Wohlleb presents simulation applications and illustrates how customers of the world market leader in circular knitting benefit.

A recording of the electric motor development panel discussion as part of the ATCx Electric Powertrain virtual event in March 2021. The panel features insight from Cleef Thackwell, Lead Motor Design Engineer at Jaguar Land Rover; Dr. Lars Fredriksson, VP Global Automotive at Altair; James Eves, Team Manager at Altair; Jonathan Stevens, Senior Development Engineer at Equipmake; Andy Jones, Innovation Program Manager at HiETA Technologies; Sergi Riba, Design Engineer at Safran Ventilation Systems; and Vincent Leconte, Senior Director of Global Business Development, Electromechanical Solutions at Altair.

Martin Kemp, Regional Manager at Altair, Dr. Denis Cumming, a Senior Lecturer at The University of Sheffield, John Milios, CEO at Sendyne, Dr. Gregory Offer, Reader at Imperial College London and finally Professor Jun Xu, Director of Vehicle Energy & Safety Laboratory at The University of North Carolina, present - Developing Predictive Electro Thermal Cell Models for Pack Level Deployment. This presentation will focus on the simulation of the battery cell to represent its complex thermal and mechanical behaviour. The thermal behaviour requires the simulation of the electric behaviour within the cell which leads to the generation of heat. Managing the thermal behaviour is fundamental to the long term health of the battery. The talk provides an overview of the technologies used to simulate battery behaviour, commencing with the understanding of the battery structure including the simulation of electrode manufacture. Both electrochemical and equivalent circuit models will be discussed with the advantages and disadvantages of both methods presented. Finally, machine learning technology is used to create an intelligent cell model which retains accuracy whilst delivering computational efficiency which can be used in Part 2.

Dr. Richard Boyd, Technical Specialist at Altair take us through his presentation, Simulation Technology Facilitating Battery Pack Range Optimization. Richard will take the battery module presented in Part 2 and create a full 3D model of the module - the duty cycle, event and optimization is repeated in this environment. This is performed efficiently in a Finite Element environment. In addition, a link to a 3D Computational Fluid Dynamics solver is highlighted if additional verification is required.

Andrew Lawton, Principal Research Engineer at Smart Manufacturing Technology. Andrew has worked at SMT for almost 10 years with a focus on the dynamic analysis of drivetrains, including the effect of excitation forces from the electric machine as well as the gears. Andrew’s presentation will cover NVH analysis of an EV drivetrain, specifically with regard to response to electric machine forces generated by Altair Flux.  He will illustrate this by looking at how the presence of unbalanced magnetic pull can affect the NVH response by importing the forces from Flux into MASTA.

Dr. Lars Fredriksson, VP - Simulation Driven Innovation at Altair, presents the multi-physics design of e-motors with a particular focus on optimising performance including efforts to maximize torque and power under defined driving conditions while keeping rotor stresses, motor vibrations and motor temperature within certain limits. We’ll also see some specific examples of this process as applied to e-motor development at both Porsche and AMG.

James Eves, Team Manager at Altair, Jonathan Stevens, Senior Development Engineer at Equipmake and Andy Jones, Innovation Program Manager at HiETA Technologies, discuss AMPERE, a joint project to produce an extremely lightweight, efficient but low-cost electric motor with an extremely high continuous power density. The consortium will present some of the engineering challenges that designing such a high performance motor has posed, and how these challenges have been overcome through advanced manufacturing technology and simulation driven design.

Sergi Riba, Design Engineer at Safran Ventilation Systems, with a brief introduction by Vincent Leconte, Senior Director of Global Business Development - EM Solution at Altair. Together they discuss the development of electric machines for the aerospace sector.

Dr. Royston Jones, CTO and Dr. Anthony Hahnel, Technical Director, give their keynote presentation during the ATCx Driving Innovation in Electric Powertrain 2021.

Matt Kedgley from Engenuity introduces us to FiRMA, an analysis method that tackles the difficult task of predicting the structural performance of randomly oriented fibre composite components. This method has been developed and made possible using a customisation of Hypermesh. The Finite Element (FE) models are pre-processed into the FiRMA format before being submitted for analysis solve through HyperStudy.

Steven Ford, Principal Engineer at Edwards Lifesciences does a high-level walk through on how simulation has evolved in the cardiovascular device space over the last two decades. An example of how Altair HyperStudy has been an exceptional tool for deeper learning with respect to device performance will also be highlighted as a step along this journey. The recording is about 15 minutes long and was originally presented at the Altair Technology Conference 2020.

Full evaluation of a design concept requires the definition of many complex details. However, complex geometric details constrain design flexibility.

Altair’s portfolio of simulation-driven design solutions covers – amongst many other disciplines – electromagnetics (EM) and electronic design automation (EDA).

Simulation-driven design powered by topology optimization was created by OptiStruct over two decades ago. Its success has changed the CAE/CAD industry as today all vendors have embraced this trend.

Vincent Leconte, Director of Business Development - EM Solutions at Altair presents at the 2019 UK e-Mobility Seminar. Optimization of e-Motors, Case Studies: Jaguar Land Rover & Porsche. Cooling Simulation of the eMotors.

Electrification is one of the main means of creating a low-carbon economy, allowing to use renewable energies and energy efficient technologies. Electric power enters many industries and also impacts our everyday lives, especially with the electric mobility. The use of power electronics and control systems allows offering better reliability, safety and low maintenance costs, and also brings additional innovative functions. Learn how Altair simulation and optimization tools can help designing highly efficient electric machines, as well as advanced control strategies to help you build innovative and energy efficient electric solutions.

In optimization it is sometimes desirable, but not possible to define constraints that fully reflects an expert’s requirements. This may lead to a design that does not function as intended. Machine Learning enables the user to set up subjective constraints, ensuring a design that has been trained to replicate the expert’s opinion. In this presentation machine learning is used to ensure axial crush for an automotive front crash event.

The rollout of 5G technology is going to be a boon across many industries globally, with the expansion of IoT and connected devices, and where lower latencies are opening the door to time-critical areas like autonomous vehicles, industrial IoT and healthcare. In this presentation we will share new applications and use cases from different major verticals, showing how organizations are designing innovative products using Altair electromagnetic simulation solutions related to antennas, wave propagation modelling, radio network planning and EMC applications. We will also talk about new solutions we have recently launched, and about what is available and coming in 5G.

This presentation introduces an application of a unique, highly automatic, multi-physics design strategy for E-motors, based on a current program at Mercedes-AMG GmbH. The strategy considers essential development requirements including electromagnetics and thermal requirements, NVH, stress and durability. It accommodates for DOE, multi-objective optimization and design exploration methods to be used to explore and find feasible motor designs. The presentation will show how the strategy adds efficiency to the E-motor development process and how it impacts the total costs of development.

The Altair Multiphysics platform provides a broad portfolio of solvers and tools to help engineers develop e-motor design requirements by using simulation and optimization methods. This presentation provides examples, using Altair Machine Learning and optimization solutions, of the e-motor requirements by leveraging in data available, which is key for e-motor designers to reduce time-to-market.

This presentation demonstrates Altair’s capability of simulating the behavior of a mechanically damaged battery from a cell to a pack integrated in a vehicle, based on collaborative research previously conducted with MIT. An innovative approach of applying electromagnetics loss to predict rising temperature due to short circuit effects during an impact is discussed, along with the development of a software tool, Battery Design, which enables OEMs and suppliers to design battery applications using multiphysics optimization, including mechanical-electrical-electrochemical-thermal behaviors.

Presentation by Konstantin Arhiptsov & by Eitan Maler, Simulation Dept. IWI Israel Weapon Industries (IWI) at the ATCx in Israel, Netanya on October 30, 2019. These days, in IWI, complete multi physics simulation is an integrated tool in the development of any new product. The motivation is to completely simulate one or two firing cycles as close to reality. First step is the Multi Body Dynamics simulation to check all mechanism are synchronized and work properly. Second is the explicit simulations - calibrating the mechanical properties of the pistol, in that the springs, contacts, materials and gun powder properties based on one firing cycle. The following is to calibrate the Non Rigid Boundary conditions (NRBC’s). This calibration of boundary conditions which are not completely fixed is crucial to understanding the actual strains and stresses on the parts. One of the approaches was to use known data of the stiffness of arm and wrist, implementing this data into a HyperStudy model to compare and calibrate the results based on a slow motion capturing of a real firing. The results are promising, with high accuracy of the behavior compared to a real capturing of the shooting, up to the point of slider getting to the end of its move – where most of the kinetic energy transform into loads on the frame. The following steps will be to calibrate, using the same method, the return of the slider to it’s original position and perform more than one firing cycle.

Presenter: Rajiv Rampalli, Sr VP in HyperWorks Core Development team, Altair

Altair’s products for multi-body system simulation (MBS) – MotionView, MotionSolve, and Inspire Motion – form a key component of multi-disciplinary system simulations. In this presentation, we will look back on several achievements this year, in the form of customer successes as well as recent enhancements to these products which significantly extend the depth and breadth of capabilities. Some of these application examples also involve connections from MBS to other Altair technology or to 3rd-party technology such as to Altair OptiStruct (for flexible bodies and light-weighting) and Altair Activate (for hydraulics) and EDEM (for discrete element modeling of bulk materials).

Ed Wettlaufer, Technical Manager Mechatronics Group, Altair [on behalf of NAVAIR]

Government solicitations for proposals, or RFPs, for aircraft and airborne systems require preliminary designs with enough fidelity to accurately predict performance, in order to prove the design's ability to meet the Governments performance requirements. Modern high-performance computing provides the leverage to execute previously expensive analyses in areas such as computational fluid dynamics. The results of these high order analyses can be used to populate parameters in 1D systems models which can be easily coupled to medium order models from other disciplines. These capabilities allow the design engineer to rapidly iterate to levels of model maturity and accuracy not achievable years ago, resulting in high levels of confidence in the designs performance predictions in unprecedented time. Moving forward, Altair engineers will employ Multiphysics and co-simulation to execute the Engineering and Manufacturing Development phase (EMD) for one subsystem of the preliminary design developed in the afore mentioned pre-acquisition phase.

Presenters: Ulrich Marl, Key Account Manager for Electric Vehicle Motor-Feedback Systems, Lenord+Bauer & Andy Dyer, MBD Sr Technical Specialist, Altair

This presentation shows a modeling process to quantify the position/speed sensor (e.g, encoder) effects on an e-motor, and corresponding control system for a concept traction motor similar to the Nissan Leaf. The integrated solution of the e-drive is carried in Altair Activate as a system builder, using other Altair solutions e-motor solutions in FluxMotor and Flux to generate data for the e-motor itself, as well as the optimal current values for the Field-Oriented Contoller. The inverter is driven with efficient space vector pulse width modulation. The integrated solution also supports different levels of modeling fidelity for the system components, for example for the e-motor where either direct co-simulation with Flux for detailed finite element analysis or a reduced order model (ROM) using look-up tables. In this way, sensor design parameters can be evaluated within an accurate system of the e-drive to improve performance and efficiency.