Electromagnetic analysis

Software Decreases Time to Market for Electric Cars

March 27, 2018
Advanced CAD and simulation reduces iterations and lets startups compete with big companies.

The automotive industry is in the midst of a disruption, and the transcendence of electric vehicles from niche to mainstream is a driving force behind this change.

Challenges remain to improve the motor designs used in electric vehicles. One potential solution is the use of power magnetic devices (PMDs), a category of devices that includes motors, generators, transformers, and inductors. In simple terms, these components utilize an electromagnetic field to convert electrical energy to mechanical energy, or vice versa.

In the field of power engineering, and particularly in the design of PMDs, modern advances are targeted at reducing system losses, mass, volume, and cost, while simultaneously increasing power capability, reliability, and large-scale manufacturability.

Achieving these competing objectives in modern applications requires advanced methods to optimize the design of various PMDs such as electric motors. These include computationally efficient device models in conjunction with state-of-the-art optimization techniques. Furthermore, the design constraints pertaining to electric motors represent a complex multiphysics problem from a mechanical, electrical, and thermal perspective.

Faraday Future is a start-up technology company focused on the development of intelligent electric vehicles, using software that offers a multi-physics finite element analysis program to produce electric motors for automobiles. The organization is also taking an innovative, modular approach to electric vehicle design.

“My group develops motor designs for a generic set of vehicles, primarily suited to our variable platform architecture, which allows for modular development of electric vehicle powertrains,” explained Omar Laldin, Faraday Future’s lead electromagnetic engineer. “We can add or remove motors, adjust battery quantities, and collapse or increase the size of the chassis.

“To be able to do that, we have to design the motor for a variety of conditions, and need to take into account several different aspects of the motors beyond just the electro­magnetic components, such as the mechanical and thermal behavior,” Laldin added.

1. COMSOL is able to perform Finite element analysis (FEA) of a nonlinear-surface permanent magnet synchronous motor (PMSM). This is an example of an electromagnetic analysis conducted by Faraday Future.

The example in Fig. 1 involves completing a series of advanced opti­mization algorithms, which quickly model how particular designs will behave. Speed is of the essence, as these opti­mization algorithms are required to perform numerous iterations to ensure a variety of designs are investigated. As a result, some aspects of the models need to be simplified.

 “It could take several weeks to do a full CFD analysis to predict thermal behavior,” Laldin said. “There are often thousands of designs to be considered and hundreds of operating points for every given design, making it impractical to do detailed multiphysics analysis with a very compu­tationally heavy tool. Software that allows us to conduct thorough electromagnetic and mechanical analyses—along with simplified thermal analysis—work in a stable way, and give us quick feedback on each of these aspects during the design process.”

The versatility of advanced software also helps the electromagnetic motor design group collaborate with the other teams within Faraday Future, including motor mechanical, inverter, motor control, powertrain control, systems engineering, and so forth. Collectively, these groups form the Powertrain Group within the organization.

“We do all the early stage analysis before we send data to other teams to make sure we’re in the right ballpark, and that limits the number of iterations we have to do with other teams,” Laldin added. “I think that’s one of the most beneficial aspects of the COMSOL simulation and modeling tools.”

Designing an Actuator

The electric motor team designed an EIectric-core actuator to meet certain constraints, all the while obtaining a compromise between competing volume and power loss objectives. While the power loss must be minimized, the team did not want to increase the size of the component to do so, as package size is a critical metric in most vehicular systems. The actuator was made up of a coil of conducting wire wrapped around a stationary Electric-core, along with a movable Inner-core.

Using advanced software to  perform a 2D electromagnetic field analysis and genetic algorithms, the model accounted for the highly nonlinear behavior of the various steel materials, while the genetic algorithm provided the globally optimized and multi-objective Pareto-Optimal Fronts. This data was used to find the tradeoff between reducing the volume and power loss.

2. Shown is the Pareto-Optimal Front providing mass vs. loss tradeoff.

The team used geometric parameters of the actuator as inputs in the algorithm and obtained losses based on the coil resistance. This allowed for the rapid investigation of numerous designs of the electromagnetic actuator, capable of delivering 2,500 N of force.

Investigating Losses

The team investigated the nonlinearity of the steel used in electric motors, which changes the nature of high-frequency conductor losses in a slot. These losses increase at high speeds due to the increase in skin and proximity effect in the conductors; they are also affected by the temperature. Due to the geometry of the motor, some winding architectures and their conductors are more easily cooled than others. For example, the spacing of the conductors and their dimensions can affect the heat transfer in the slot.

Laldin and his colleagues performed further multi­physics analysis, coupling the electromagnet­ic components with the thermal behavior to identify hotspots in the motor that could cause catastroph­ic failure. They discovered that the current density within the conductors changed significantly due to changes in flux density across the slot. The researchers calculated the loss density in each of the conductors and then obtained the temperature distribu­tion, which provided the maximum hot spot tem­peratures in different areas of the motor.

 “The loss in different conductors can vary even if we have the same current,” Laldin said. “We model these variations and do some approximate and quick thermal analysis in COMSOL, which allows us to study the temperature distribution.” Identifying the maximum hot spot temperatures enables manufacturers to determine the reliability of the design and prevent destructive motor events.

This multiphysics approach brings further time savings to Faraday Future, as one person can both design and analyze a motor and/or its components. “Instead of doing 10 iterations with the various teams, our tools allow us to complete the design in 1 to 2 iterations,” Laldin noted. "This is one of the biggest advantages of having a multiphysics analysis tool—we can cut down on the number of iterations we need to do between different groups. It’s a lot quicker for one person to optimize the design, followed by minor refinements across the teams, than it is for each team to independently analyze each aspect of the physics.”

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