A team of chemists has developed an MRI-based technique that can quickly diagnose what ails certain types of batteries—from determining how much charge remains to detecting internal defects—without opening them up. Above is an illustration of measurement setup showing the cell and the holder with the detection medium (water in this case), and (d) showing both inserted within the magnet bore of an NMR magnet. Image courtesy of Andrew Ilott and Alexej Jerschow.
Battery Fingerprint technology won $150K validation grant in PowerBridge NY Competition. Funded by the New York State Energy Research and Development Authority (NYSERDA), PowerBridge NY is an accelerator for cleantech innovations seeking to accelerate the commercialization of their innovation. Battery Fingerprint Technology is a cycle 5 awardee that is being helped by PowerBridge NY to find the best Market-fit and business strategy for their technology.
Battery Fingerprint Technologies has advanced to the semi-final of the $300K Entrepreneurs Challenge. This is a terrific accomplishment considering there were more than 180 entering teams and only 38 Semi-finalist teams. The $300K Entrepreneurs Challenge at the NYU Stern School of Business is one of the largest and most innovative accelerator programs in the world. More than 750 students, alumni and faculty members from 16 schools across NYU’s campus compete for a combined $300,000 in cash and startup services.
Currently the ability to test batteries non-invasively is limited to basic tests of physical characteristics such as mass, and voltage and resistance measurements. The internal workings of a battery cannot currently be assessed without destroying the battery itself. This is a huge roadblock to the development of more powerful devices. Our technology presents a major and unique step forward in battery testing technologies, allowing us to scan the inside of a battery using an MRI scanner. The technique gives information about the state of charge of the battery (the remaining charge in the battery) and its health, and provides key indicators about the way materials are distributed inside the battery case. This is crucial information in any process involving new battery designs and new battery materials. Learn more ->