CATL is Using AI to Discover Next-Generation Battery Materials

00:00

00:00/00:00

Listen to this article 1x

CATL holds 37.6% of the global power battery market in the first seven months of 2024, according to SNE Research.

Contemporary Amperex Technology Co. Ltd. (CATL), the world’s largest battery producer, is focusing its research and development team on the use of artificial intelligence to discover the next generation of battery materials.

Zeng Yuqun, the CATL’s chairman, said his company has 20,000 people working in R&D and discovering the materials that will push forward battery innovation was their main aim. He was talking on Wednesday to Nicolai Tangen, chairman of Norway’s sovereign wealth fund Norges Bank Investment Management.

You've accessed an article available only to subscribers

Subscribe today for just $.99.

VIEW OPTIONS

Download our app to receive breaking news alerts and read the news on the go.

Get our weekly free Must-Read newsletter.

Share this article

Open WeChat and scan the QR code

DIGEST HUB

Digest Hub

Back

Explore the story in 30 seconds

CATL is leveraging AI to discover new battery materials, with 20,000 R&D employees focusing on innovation.
AI methodologies are increasing efficiency in battery R&D by 2-5 times and reducing costs by up to 80%.
CATL's market share in the global power battery market was 37.6% in the first seven months of 2024.

AI generated, for reference only

Who’s Who

Contemporary Amperex Technology Co. Ltd. (CATL): Contemporary Amperex Technology Co. Ltd. (CATL) is the world's largest battery producer, holding a 37.6% market share in early 2024. Focused on battery innovation through AI, CATL employs 20,000 R&D personnel. They're exploring new materials, such as solid-state electrolytes, using AI to enhance efficiency and reduce costs. CATL is developing an AI-driven battery design automation tool and a supercomputing center for advanced material selection and development.

Yiwei Lithium Energy: Yiwei Lithium Energy's chairman, Liu Jincheng, highlighted the efficiency gains from AI in verifying complex chemical systems for battery electrolytes. He noted that AI can significantly reduce research costs by eliminating unnecessary experimental verifications, which can otherwise range between 10 million yuan ($1.41 million) to 20 million yuan.

BYD: BYD's FinDream Battery Co. is leveraging AI to enhance battery cloud management. According to CTO Sun Huajun, AI can provide real-time monitoring and data analysis to detect abnormalities and issue early warnings, thereby improving the safety and performance of battery systems.

FinDream Battery Co.: FinDream Battery Co. is a division of BYD, with Sun Huajun as its Chief Technology Officer. The company uses AI for battery cloud management to ensure optimal working conditions. AI algorithms enable real-time monitoring and data analysis to detect abnormalities and issue early warnings, enhancing battery safety and performance.

AI generated, for reference only

What Happened When

August 31, 2024：: Ouyang Minggao, of the Chinese Academy of Sciences and a Tsinghua University professor, emphasized the shift from trial and error to simulation in battery R&D at a forum.

Earlier this month (September 2024)：: AI’s role in battery development was discussed at the World Power Battery Conference.

Wednesday, September 18, 2024：: Zeng Yuqun, the CATL’s chairman, talked about the company's focus on AI in battery material discovery to Nicolai Tangen, chairman of Norway’s sovereign wealth fund Norges Bank Investment Management.

AI generated, for reference only