4 Sources
[1]
Nio's new real-time AI testing tech can transform EV battery swapping
The collaboration enables the automaker to assess new batteries by analyzing their health, performance, and durability every time they are swapped. Monolith's AI algorithm processes the data, providing real-time insights for battery improvements. The partnership aims to improve battery performance by leveraging data from Nio's battery-swapping service in Europe. The project's testing will soon begin in five European markets. "Monolith's deep-learning algorithms allow for automatic detection of battery issues, such as spontaneous discharge and thermal runaway, making it easier to analyse complex real-world data quickly. This capability not only saves time and resources but also enhances battery safetym," said Richard Ahlfeld, CEO and Founder of Monolith, in a statement. Electrification is transforming the automotive industry, driving significant investment in developing longer-lasting, faster-charging, and cost-efficient batteries. Traditional simulations fail to accurately model battery performance, forcing OEMs and cell manufacturers to rely on physical testing, which increases costs and delays. A new approach using AI and machine learning is essential for staying competitive.
[2]
Nio partners with Monolith for real-time AI EV battery testing
LONDON (Reuters) - Nio is partnering with UK artificial intelligence software startup Monolith to test and improve electric car battery packs in real-time using the Chinese EV maker's battery swapping service in Europe, the companies said on Tuesday. Testing is due to start soon in five markets in Europe and Monolith CEO Richard Ahlfeld told Reuters the company is working through regulatory requirements to do the same in China. That should enable it to work with other Chinese automakers, Ahlfeld said. Monolith already works with around 10 of the world's top 20 automakers test electric vehicle batteries using machine learning algorithms, including Mercedes-Benz, BMW and Honda, to speed up their development and help western automakers catch up with newer Chinese rivals. "They're obviously way behind China so they need to learn really, really quickly," Ahlfeld said. A European automaker needs around five years or more to develop a new car, while Chinese EV makers only need around two years. "The Chinese want to push even faster, they're currently thinking 'okay, can we do it in one year?'", Ahlfeld said.Nio runs a battery swapping service that allows car owners to swap out EV batteries in minutes rather than charging them. Frank Kindermann, Nio's European battery system head, said that 98% of customers in its five key European markets use the battery swapping service. That allows the automaker to test out new batteries and check on their health, performance and durability each time they are swapped out, using Monolith's AI algorithm to crunch the numbers. "Nio can essentially give you a prototype of a car early on and they keep testing and learning from what you're doing," Ahfeld said. Monolith has so far raised around $22 million from investors, including private equity firm Insight Partners and venture capital firm Pentech. (Reporting By Nick Carey; Editing by Chizu Nomiyama)
[3]
Nio Partners With Monolith for Real-Time AI EV Battery Testing
LONDON (Reuters) - Nio is partnering with UK artificial intelligence software startup Monolith to test and improve electric car battery packs in real-time using the Chinese EV maker's battery swapping service in Europe, the companies said on Tuesday. Testing is due to start soon in five markets in Europe and Monolith CEO Richard Ahlfeld told Reuters the company is working through regulatory requirements to do the same in China. That should enable it to work with other Chinese automakers, Ahlfeld said. Monolith already works with around 10 of the world's top 20 automakers test electric vehicle batteries using machine learning algorithms, including Mercedes-Benz, BMW and Honda, to speed up their development and help western automakers catch up with newer Chinese rivals. "They're obviously way behind China so they need to learn really, really quickly," Ahlfeld said. A European automaker needs around five years or more to develop a new car, while Chinese EV makers only need around two years. "The Chinese want to push even faster, they're currently thinking 'okay, can we do it in one year?'", Ahlfeld said.Nio runs a battery swapping service that allows car owners to swap out EV batteries in minutes rather than charging them. Frank Kindermann, Nio's European battery system head, said that 98% of customers in its five key European markets use the battery swapping service. That allows the automaker to test out new batteries and check on their health, performance and durability each time they are swapped out, using Monolith's AI algorithm to crunch the numbers. "Nio can essentially give you a prototype of a car early on and they keep testing and learning from what you're doing," Ahfeld said. Monolith has so far raised around $22 million from investors, including private equity firm Insight Partners and venture capital firm Pentech. (Reporting By Nick Carey; Editing by Chizu Nomiyama)
[4]
Nio partners with Monolith for real-time AI EV battery testing
LONDON, Oct 1 (Reuters) - Nio (9866.HK), opens new tab is partnering with UK artificial intelligence software startup Monolith to test and improve electric car battery packs in real-time using the Chinese EV maker's battery swapping service in Europe, the companies said on Tuesday. Testing is due to start soon in five markets in Europe and Monolith CEO Richard Ahlfeld told Reuters the company is working through regulatory requirements to do the same in China. That should enable it to work with other Chinese automakers, Ahlfeld said. Advertisement · Scroll to continue Monolith already works with around 10 of the world's top 20 automakers test electric vehicle batteries using machine learning algorithms, including Mercedes-Benz, BMW and Honda, to speed up their development and help western automakers catch up with newer Chinese rivals. "They're obviously way behind China so they need to learn really, really quickly," Ahlfeld said. A European automaker needs around five years or more to develop a new car, while Chinese EV makers only need around two years. Advertisement · Scroll to continue "The Chinese want to push even faster, they're currently thinking 'okay, can we do it in one year?'", Ahlfeld said. Nio runs a battery swapping service that allows car owners to swap out EV batteries in minutes rather than charging them. Frank Kindermann, Nio's European battery system head, said that 98% of customers in its five key European markets use the battery swapping service. That allows the automaker to test out new batteries and check on their health, performance and durability each time they are swapped out, using Monolith's AI algorithm to crunch the numbers. "Nio can essentially give you a prototype of a car early on and they keep testing and learning from what you're doing," Ahfeld said. Monolith has so far raised around $22 million from investors, including private equity firm Insight Partners and venture capital firm Pentech. Reporting By Nick Carey; Editing by Chizu Nomiyama Our Standards: The Thomson Reuters Trust Principles., opens new tab
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Chinese EV maker Nio collaborates with UK-based AI startup Monolith to implement real-time battery testing using AI algorithms. This partnership aims to accelerate EV battery development and improve performance through Nio's battery swapping service in Europe.
Chinese electric vehicle (EV) manufacturer Nio has announced a groundbreaking partnership with UK-based artificial intelligence startup Monolith to revolutionize EV battery testing 1. This collaboration aims to leverage Nio's battery swapping service in Europe to conduct real-time testing and improvement of electric car battery packs using Monolith's advanced AI algorithms 2.
The partnership introduces a novel method for assessing new batteries by analyzing their health, performance, and durability each time they are swapped out in Nio's service stations 1. Monolith's deep-learning algorithms process the data, providing real-time insights for battery improvements and enabling automatic detection of issues such as spontaneous discharge and thermal runaway 1.
Frank Kindermann, Nio's European battery system head, revealed that an impressive 98% of customers in Nio's five key European markets utilize the battery swapping service 3. This high adoption rate provides a wealth of data for the AI-powered testing system.
Traditional simulations have struggled to accurately model battery performance, forcing manufacturers to rely on time-consuming and costly physical testing 1. The new AI-driven approach is poised to significantly reduce development time and costs, giving participating automakers a competitive edge in the rapidly evolving EV market.
Richard Ahlfeld, CEO and Founder of Monolith, highlighted the stark contrast in development timelines between European and Chinese automakers 4:
"A European automaker needs around five years or more to develop a new car, while Chinese EV makers only need around two years. The Chinese want to push even faster, they're currently thinking 'okay, can we do it in one year?'"
Monolith already collaborates with approximately 10 of the world's top 20 automakers, including Mercedes-Benz, BMW, and Honda, to accelerate their EV battery development using machine learning algorithms 3. The company aims to help Western automakers catch up with their Chinese counterparts, who have gained a significant lead in the EV market.
The Nio-Monolith partnership is set to commence testing soon in five European markets 2. Additionally, Monolith is working through regulatory requirements to implement similar testing programs in China, which could pave the way for collaborations with other Chinese automakers 4.
Monolith has secured approximately $22 million in funding from investors, including private equity firm Insight Partners and venture capital firm Pentech 3. This financial backing, combined with the partnership with Nio, positions Monolith as a key player in the ongoing transformation of the automotive industry through electrification.
As the race for longer-lasting, faster-charging, and more cost-efficient batteries intensifies, this AI-driven approach to battery testing and development could prove crucial for automakers striving to remain competitive in the rapidly evolving EV market 1.
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