Altair® e-Motor Director™

Accelerating e-Powertrain Design

Considering the tight limits on costs and the industry’s competitive time-to-market, developing innovative electric powertrains is a challenge for any manufacturer. To solve it, Altair e-Motor Director is an efficient, robust solution that delivers competitive motor designs while considering all project requirements. Altair e-Motor Director mixes the advantages of simulation- and data-driven design to weigh conflicting constraints from multiple physics so you can accelerate 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 optimization to identify a motor family or a specific motor based on a single DOE or multiple DOE studies.

Process Automation, Democratized

E-Motor Director is a single working environment where specialists can provide best-practice stored as solutions which users can drop and connect into more complex workflows, ready to be executed automatically. Built upon the Altair® Pulse™ workflow orchestration environment, it allows users and organizations to democratize expert knowledge so it can be used in a flexible way to evaluate, compare, and optimize motor concepts efficiently, which saves users time and engineering costs.

Altair’s flexible licensing system and our broad portfolio of solver solutions make design studies efficient, reliable, timely, and cost-effective.

Exploration and Optimization, Enhanced

Today’s generation of innovative designs demands that users explore novel concepts and refine the most promising ones.

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 DOE database with design information. Its efficient optimization procedures then help users explore the design space to find a single optimal motor or a complete motor family based on given constrains and optional carry-over scenarios.

Adopting a common parts design approach that reuses components to build a family of motors within a unified design and simulation platform ensures e-motor designs achieve the optimal balance between efficiency, performance, sustainability, and cost.

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Multi-Attribute Collaboration

e-Motor Director is a multiphysics-enabled tool that empowers users to consider several different physics and load cases within a single study. The included best-practice solutions from Altair for electromagnetics, strength, and cooling provide an excellent baseline for executing both concept and detailed studies. Additionally, Altair tools enhance the standard set of default solutions for every new release to close any possible gaps in users needs.

Successful e-motor design demands accuracy and efficiency, and a critical aspect is accounting for the 1D and 3D interactions of the inverter on e-motor performance. With e-Motor Director, teams can investigate the combined motor and inverter interaction by accounting for input currents and control signals within a single, automated workflow, boosting accuracy, performance, and savings.

Global Process Integration

To cover all possible client requirements, e-Motor Director lets users define client-specific solutions based on user-defined engineering best-practices, either covering additional physics or treating existing physics differently than in Altair’s baseline solutions.

This simplifies the integration of e-Motor Director in client environments where processes for e-motor design have already been developed and partially automated. These user-defined solutions simplify the migration of existing processes to work in e-Motor Director.

Featured Resources

E-motor Design using Multiphysics Optimization

Today, an e-motor cannot be developed just by looking at the motor as an isolated unit; tight requirements concerning the integration into both the complete electric or hybrid drivetrain system and perceived quality must be met. Multi-disciplinary and multiphysics optimization methodologies make it possible to design an e-motor for multiple, completely different design requirements simultaneously, thus avoiding a serial development strategy, where a larger number of design iterations are necessary to fulfill all requirements and unfavorable design compromises need to be accepted.

The project described in this paper is focused on multiphysics design of an e-motor for Porsche AG. Altair’s simulation-driven approach supports the development of e-motors using a series of optimization intensive phases building on each other. This technical paper offers insights on how the advanced drivetrain development team at Porsche AG, together with Altair, has approached the challenge of improving the total design balance in e-motor development.

White Papers

Multi-Physics Design of e-Motors Using Optimization with Examples from Porsche and AMG

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.

Conference Presentations

Maximizing Innovation in e-Motor Design Using Multiphysics Design Strategies

Future e-motors must be developed to fulfil more and higher requirements originating from internal, legal and customer sources. Failure to fulfill design targets will negatively affect the product competitiveness in the market.

White Papers

E-Motor Weight and Cost Reduction

Nowadays, it is more and more challenging to design an e-motor. Many constraints have to be fulfilled, including maximizing power using minimal size, considering thermal constraints, material and production costs, and of course reducing weight. In order to meet these constraints, a multifaceted solution is needed, leveraging physics tools in combination with optimization methods. This webinar will introduce Altair's e-motor design and optimization solutions in a step by step process. We will discuss pre-design, magnetic computation and thermal analysis and show how optimization methods can help to optimize weight and cost at each step of the process (especially the weight of magnets) . We’ll demonstrate how Design Of Experiments (DOEs) allows designers to run different types of optimization very quickly, which enables informed decisions at different stage of the design cycle.

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