Leveraging Digital Twins for Enhanced Yield and Sustainability in EV Battery Manufacturing
Tracks
Transportation
| Wednesday, October 23, 2024 |
| 4:00 PM - 4:30 PM |
| 207/208 - Technical Session |
Details
Batteries for Electric Vehicles are produced with safety and sustainability as key to their success, and the role of inspection is the often untold largest driver of the economics and improved yield. With Non Destructive Testing through the full manufacturing lifecycle, and into in service there is significant connected data available to the control towers inside gigafactories, and with this data there is the opportunity to leverage simulation and inspection data together to generate a true digital twin.
Within a UK government funded programme, together with the UK Battery Industrialisation Centre, and a startup company working with Waygate Technologies, we managed to achieve the foundation and proof of validation of the benefits of a digital twin drawing data from all of the inspection devices, together with simulation.
With the combination of Visual and Machine Learning, teamed with Ultrasound Technology and XRay- Computed Tomography running on the 'DigiTWIN' platform the team immediately discovered yield improvements which in the scope of a 20 GWhr/annum factory with a benefit of 1% yield improvement, and savings of $24M per annum. This leads to a number of opportunities to collaborate with the benefit of NDE4.0 and fusion of inspection data.
As a next step we can see savings with the combination of simulation in key areas that are complimented by data from inspection and quality control systems which can deliver as much as 5-15% yield improvement.
Within a UK government funded programme, together with the UK Battery Industrialisation Centre, and a startup company working with Waygate Technologies, we managed to achieve the foundation and proof of validation of the benefits of a digital twin drawing data from all of the inspection devices, together with simulation.
With the combination of Visual and Machine Learning, teamed with Ultrasound Technology and XRay- Computed Tomography running on the 'DigiTWIN' platform the team immediately discovered yield improvements which in the scope of a 20 GWhr/annum factory with a benefit of 1% yield improvement, and savings of $24M per annum. This leads to a number of opportunities to collaborate with the benefit of NDE4.0 and fusion of inspection data.
As a next step we can see savings with the combination of simulation in key areas that are complimented by data from inspection and quality control systems which can deliver as much as 5-15% yield improvement.
Speaker
Paul Perera
Strategy and Technology Director
Waygate Technologies
Leveraging Digital Twins for Enhanced Yield and Sustainability in EV Battery Manufacturing
Presentation Description
Batteries for Electric Vehicles are produced with safety and sustainability as key to their success, and the role of inspection is the often untold largest driver of the economics and improved yield. With Non Destructive Testing through the full manufacturing lifecycle, and into in service there is significant connected data available to the control towers inside gigafactories, and with this data there is the opportunity to leverage simulation and inspection data together to generate a true digital twin.
Within a UK government funded programme, together with the UK Battery Industrialisation Centre, and a startup company working with Waygate Technologies, we managed to achieve the foundation and proof of validation of the benefits of a digital twin drawing data from all of the inspection devices, together with simulation.
With the combination of Visual and Machine Learning, teamed with Ultrasound Technology and XRay- Computed Tomography running on the 'DigiTWIN' platform the team immediately discovered yield improvements which in the scope of a 20 GWhr/annum factory with a benefit of 1% yield improvement, and savings of $24M per annum. This leads to a number of opportunities to collaborate with the benefit of NDE4.0 and fusion of inspection data.
As a next step we can see savings with the combination of simulation in key areas that are complimented by data from inspection and quality control systems which can deliver as much as 5-15% yield improvement.
Within a UK government funded programme, together with the UK Battery Industrialisation Centre, and a startup company working with Waygate Technologies, we managed to achieve the foundation and proof of validation of the benefits of a digital twin drawing data from all of the inspection devices, together with simulation.
With the combination of Visual and Machine Learning, teamed with Ultrasound Technology and XRay- Computed Tomography running on the 'DigiTWIN' platform the team immediately discovered yield improvements which in the scope of a 20 GWhr/annum factory with a benefit of 1% yield improvement, and savings of $24M per annum. This leads to a number of opportunities to collaborate with the benefit of NDE4.0 and fusion of inspection data.
As a next step we can see savings with the combination of simulation in key areas that are complimented by data from inspection and quality control systems which can deliver as much as 5-15% yield improvement.
Biography
Paul Perera is Director of Strategy &Technology Operations in Baker Hughes IET, Inspection. He comes from a background in 34years Military Technology & Aerospace Manufacturing industries.
Most recently he has delivered a successful bid for the development of a digital twin for the Battery Industrialisation Centre, a partner to Waygate Technologies, &accelerating the path to Zero Emissions, with high quality &zero scrap batteries by leveraging data science, simulation & optimisation.
In his last role as VP Technology and Innovation in GKN Aerospace,he led over 600 researchers in 4 technology centres focused on Additive Manufacturing, Composites &Hydrogen Fuel Cells for Aerospace.
