In a groundbreaking collaboration, Monolith, a leading artificial intelligence (AI) software provider, has teamed up with About: Energy, a pioneering battery technology innovator, to revolutionize the development of next-generation electric vehicle (EV) batteries.
The partnership aims to address the pressing need for more accurate and scalable battery modelling and testing, driven by the increasing demand for advanced EV technologies. By leveraging AI-powered battery modelling, Monolith and About: Energy seek to significantly reduce EV development time, potentially shaving off 12 to 18 months from the R&D process.
Engineers from both companies are working hand-in-hand to develop pre-trained AI models within the Monolith platform, utilizing precise battery data provided by About: Energy. These models, trained on a wealth of battery data, will enable more accurate predictions for battery degradation and thermal propagation, leading to fewer tests, lower testing costs, and enhanced battery performance and safety.
The integration of advanced testing and validation practices will offer vehicle manufacturers unprecedented insights into battery physics, paving the way for higher-performing EV batteries in a fraction of the time previously required. While the initial focus is on the automotive sector, the partnership holds potential for expansion into other transport industries such as micromobility and aerospace.
Dr Richard Ahlfeld, CEO and founder of Monolith expressed enthusiasm about the partnership, highlighting the potential of AI models to optimize battery validation test plans and expedite the development of superior EVs. Gavin White, CEO and Co-Founder of About: Energy, emphasized their commitment to innovation and adding value to the industry through cutting-edge technologies and collaborations like this.
The collaboration between Monolith and About: Energy represents a significant step forward in the EV industry, offering a synergy of AI expertise and top-tier battery data to drive innovation and accelerate the adoption of advanced EV technologies.