Nio, a Chinese electric vehicle (EV) producer, has partnered with UK AI software startup Monolith to provide upgraded and improved electric car batteries through real-time testing.
The arrangement enables the automaker to evaluate new batteries by analyzing their health, performance, and durability every time they are replaced. Monolith’s artificial intelligence engine analyzes data and delivers real-time insights for battery upgrades.
The alliance 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 automatically recognize battery issues such as spontaneous discharge and thermal runaway, enabling for more efficient analysis of complex real-world data. According to Monolith’s CEO and Founder, Richard Ahlfeld, this capacity not only saves time and money, but it also increases battery safety.
Electrification is transforming the automotive industry, prompting significant investment in longer-lasting, faster-charging, and more cost-effective batteries. Traditional models fail to accurately depict battery performance, forcing OEMs and cell manufacturers to rely on physical testing, which increases costs and delays. Staying competitive necessitates a new strategy based on AI and machine learning.
Monolith’s AI models, which use test data, are a simpler and more accurate alternative to traditional Error Correction Models (ECM) and Pseudo-Two Dimensional (P2D) models. Users can use Monolith’s interactive tools to analyze battery designs, forecast how batteries would perform in different scenarios, and optimize critical parameters.
