ML/AI in EV manufacturing
Partnerships between automotive manufacturers and electric vehicle (EV) specialists, along with innovations in battery systems and efforts by governments to reduce CO2 emissions, are paving the way to a future of all-electric roads. And the electrification movement goes beyond the normal automobile – EVs are the preferred choice for commercial, off-highway, and even ridesharing vehicles.
Globally, annual EV sales increased by 108% last year to reach a record 6.75 million units sold in 2021. Because EV systems are new and evolving, precision manufacturers are turning to machine learning (ML) and artificial intelligence (AI) to help them analyze, understand, and react to data, in order to ensure quality control at every phase of production.
What’s Happening in EV Manufacturing?
Automotive manufacturing companies around the world are laying claim to a share of the rapidly growing EV market, by making major investments in EV and battery system production. To illustrate where EV manufacturing is headed, here are just ten recent stories that made headlines around the world:
- While less than 2% of the automobiles sold in the US over the past three years were electric, President Biden set a goal that 50% of all new vehicles sold in the US would be zero-emission by 2030. This would put the US on track to reduce greenhouse gas emissions from new passenger vehicle sales by 60% in 2030, compared to 2021 sales.
- Montreuil in the south of France cancelled 50 hydrogen fuel cell buses on order, after realizing that it would be less expensive and more efficient to order battery-electric buses instead.
- Toyota is investing $1.29 billion to build its first US battery plant in North Carolina. Scheduled to open in 2025, the plant will be able to produce enough batteries for 1.2 million vehicles per year.
- Nissan is making a $17 billion investment for a new range of EVs and solid state batteries, to reach their target mix of 40% electrified vehicles sold in the US by 2030.
- Ford in the US is planning to nearly double production of the F-150 Lightning pickup to meet high demand. More than 75% of the orders placed were from first-time Ford buyers.
- GM, in partnership with a South Korean chemical manufacturer, is planning to open a new factory in the US by 2024, where they will process battery materials for the GM EV platform.
- Volkswagen and Bosch have partnered to improve the manufacturing processes for battery cells, by offering integrated battery production systems and support for battery cell and system manufacturers.
- Tesla is in talks with the Québec government about a multi-billion dollar investment into battery production in the province, and to secure Québec’s place in Tesla’s supply chain.
- Proterra Inc. is investing $76 million to build a 327,000 ft² factory in South Carolina to manufacture batteries for commercial EVs, such as buses and delivery trucks.
- John Deere has acquired an Austrian company that produces high-density battery packs to meet the demand for battery-powered propulsion systems for their equipment.
There are numerous new EV manufacturing announcements daily. The demand for these vehicles is definitely on the rise, and product quality and production precision are key to success in this dynamic market.
How Can AI/ML Help in EV Manufacturing?
Manufacturing EV components and battery systems is a precise, complex, and constantly evolving process that involves mountains of data from multiple sources. Solutions such as Acerta’s LinePulse use ML/AI capabilities to digest, analyze and interpret this data, giving you a better understanding across your manufacturing line.
LinePulse employs ML/AI for anomaly detection, root cause analysis, and capability metrics on your production line, to help you improve product quality, reduce scrap and rework rates, simplify troubleshooting, and get early warning signals of any changes in the production process. LinePulse ensures your data is easily accessible and transparent, to give you the ability to constantly explore the feasibility of new data models and work more efficiently, accelerate throughput, and improve first time yield.
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Built by engineers for engineers in precision manufacturing, the LinePulse SaaS suite of solutions is forged from industrial experience and driven by data science. It enables precision manufacturers to turn complex product data into actionable insights that optimize production, improve product quality, and boost the bottom line. Want to learn more? Get in touch.
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