Applications: Electric Vehicles (EV)

Penetration Of Artificial Intelligence In EV Value Chain A notable trend in 2024 has been the penetration of AI across the entire value chain of a Lithium ion Battery

CELL MATERIALS DISCOVERY

AI models screen thousands of potential combinations & helps predict material properties at the atomic scale, thereby aiding discovery of novel materials for electrolytes, electrodes and separators

ACCELERATED TESTING

AI accelerates testing protocols by simulating electrochemical reactions in different material compositions, reducing reliance on time intensive physical experiments

MANUFACTURING PROCESS OPTIMIZATION

BATTERY LIFETIME PREDICTION

FLEET DATA ANALYSIS

Source: Company Announcements

AI used to optimize electrode coating & drying process, which may reduce time taken for cell ‘formationʼ exponentially

AI models used to predict battery aging. A study by Stanford Energy demonstrates a 9.1% error in life prediction using the first 100 cycles; applied on a set of 124 LFP cells with life range of 1502300 cycles

AI has been used for fleet analytics to optimize performance and to help uncover key stress factors affecting battery health. AI can also detect anomalies in battery packs thus preventing untimely aging

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