Charged EVs | How digital improvement of EV motors can cut back price and danger (Webinar)
The event of electrical machines has developed considerably in recent times as a result of ever-increasing efficiency necessities for automotive functions reminiscent of effectivity, energy density, price, and noise. Simulation and digital improvement play an important position in lowering improvement time, price, and danger to attain these efficiency objectives.
On this webinar at our Spring Digital Convention on EV Engineering, offered by Ansys, we’ll reveal digital options to key challenges confronted in fashionable electrical traction motor design and introduce the class-leading digital improvement platform for electrical motors.
Reserve your spot—it’s free!
Different periods at our Spring Digital Convention embody:
Knowledge-Pushed Choice Making To Scale back Downtime And Threat Whereas Enhancing Productiveness In Your Automotive Plant
As the electrical car business continues to broaden exponentially, established gamers and newcomers alike are in search of easy-to-use and efficient options for upkeep and high quality. This implies producers are exploring alternatives to digitize areas like upkeep by utilizing computerized upkeep administration programs (CMMS) to trace and predict asset lifecycles. And as we work to deliver extra EVs to market at a faster-than-ever tempo, driving predictable and repeatable product high quality is important to success and security.
In a distant, hybrid, and distributed world, cloud-based functions give groups entry to important info and workflows that enhance productiveness and uptime.
On this session, we’ll cowl the tendencies we’re seeing with administration software program and share the large potential that exists within the automation area.
Reserve your spot—it’s free!
Different periods at our Spring Digital Convention embody:
Utilizing Synthetic Intelligence To Examine Batteries With 3D X-ray Microscopy And Computed Tomography
This presentation exhibits tips on how to use synthetic intelligence applied sciences to examine batteries with 3D X-ray microscopy (XRM) and computed tomography (CT). Extra particularly, it illustrates how deep learning-based algorithms for CT reconstruction might be built-in into 3D X-ray inspection workflows for batteries. As well as, synthetic intelligence (AI) gives a variety of instruments for automated defect recognition (ADR) of complicated parts which might be troublesome to investigate utilizing conventional measurement strategies. Machine studying (ML) platforms can practice ADR fashions to evaluate battery overhang and inclusions. In the long run, utilizing deep learning-based algorithms for CT reconstruction, reminiscent of ZEISS DeepRecon, permits for 3D XRM workflows to be utilized way more economically by lowering the time required for information acquisition. ML for defect detection gives a variety of instruments that may improve accuracy of detection and permit for ADR to work on decrease high quality (sooner) CT pictures. Synthetic intelligence-based X-ray inspection applied sciences can have a significant affect on testing and failure evaluation of batteries the place non-destructive imaging is commonly required.
Reserve your spot—it’s free!
See the complete session record for the Spring Digital Convention on EV Engineering right here.
Broadcast dwell April 17 – 20, 2023, the convention content material will span the EV engineering provide chain and ecosystem, together with motor and energy electronics design and manufacturing, cell improvement, battery programs, testing, powertrains, thermal administration, circuit safety, wire and cable, EMI/EMC and extra.
