Monolith, artificial intelligence (AI) software provider to the world’s leading engineering teams, has partnered with industry-leading battery technology innovator About:Energy to ease the growing pressure for more accurate and scalable electric vehicle (EV) battery modelling and testing.
Monolith and About:Energy, two of the UK’s leading EV technology start-ups, share a common vision for a dramatic reduction in EV development time, with the potential to speed up the R&D process by 12 to 18 months through AI-powered battery modelling.
To achieve this, engineers from both companies are working together to develop pre-trained AI models in the Monolith platform using precise, advanced battery data from About:Energy. Taking data from numerous batteries, these pre-trained models will enable more accurate, valuable predictions for battery degradation and thermal propagation – resulting in a lower number of tests, reduced testing costs, and improved battery performance and safety.
The integration of advanced, technologically driven testing and validation practices will enable vehicle manufacturers to obtain new, rich insights into the intractable physics of batteries – delivering higher-performing batteries in a significantly reduced timeframe. The immediate focus for the partnership is automotive, with the potential to roll out to other transport sectors such as micromobility and aerospace.
“Our partnership with About:Energy allows us to build more accurate models predicting battery degradation and thermal runaway, using the most robust and reliable battery test data available to engineers,” said Dr. Richard Ahlfeld, CEO and founder of Monolith. “Whether you are an automotive OEM looking for more comprehensive data, a battery manufacturer, or an EV start-up without test facilities, our pre-trained AI models promise to help optimise your battery validation test plans, and ultimately accelerate the availability of better EVs.”
“At About:Energy, we have developed technologies to obtain battery data of world-leading quality. This partnership with Monolith is a testament to our commitment to driving innovation and adding significant value to the industry and our customers,” said Gavin White, CEO and Co-Founder of About:Energy.
“We are always seeking innovative collaborations that help tackle the industry’s toughest challenges. Working with Monolith gives industry the access to the best machine-learning talent and highest quality lab data in an easy-to-use software package,” he added.
Dr. Richard Ahlfeld and Gavin White will host a live demonstration webinar in late February, with details to be made public shortly. Further information on Monolith can be found here and About:Energy here.
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About Monolith:
Monolith software is trusted by the world’s top engineering teams including Siemens, Honeywell, and the BMW Group to develop better quality products in half the time. Backed by one of the world’s largest software investors and recognized by Gartner as a Cool Vendor for AI in Automotive, Monolith AI empowers engineering domain experts in automotive, aerospace and industrial markets to reduce expensive, time-intensive testing, lower risks to product performance and quality, and cut product development time. Featured in Forbes magazine and named one of the UK’s top 100 start-ups, Monolith was founded by Dr. Richard Ahlfeld, who received his PhD in Aerospace Engineering from Imperial College and was named to MIT Technology Review’s Top 10 Innovators under 35. Monolith is headquartered in London with global enterprise clients worldwide.
About About:Energy:
About:Energy is the leading battery software company headquartered in London. The company has focused on building a portfolio of battery measurement and modelling capabilities to provide a software solution for battery design and use. About:Energy provides organisations with the tools to streamline their R&D, reducing time-to-market and enhancing battery system performance. About:Energy’s data informs better decision-making across the value chain, from mine to end-of-life. These activities include battery system design, lifetime prediction, and cell optimisation. For About:Energy’s media kit, please click here.
