Reference number : GC-2017-Q1-00560, amendment number : , agreement type : G, recipient legal name : Bizzotto, Dan (The University of British Columbia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Plus Grants for Universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : The importance of energy storage in the sustainable energy chain has resulted in an increasing number of_x000D_
battery technologies being introduced into the market. Utilizing each type of the battery to its full potential_x000D_
requires charging and discharging methods that are specific to the battery chemistry and the battery's state of_x000D_
the health. However, the technology behind the battery is not always known to the user. A method that enables_x000D_
the fast identification of the battery chemistry can be achieved through measuring its response to electrical or_x000D_
other perturbations. This approach could enable identification of the number of cells in a packaged battery and_x000D_
its appropriate and safe handling. Many major telecommunication device manufacturers have shown interest in_x000D_
this area by filing patents for such a device. However, these patented systems are directed towards use within_x000D_
the company and mainly distinguishes between the various battery models specific to the manufacturer. They_x000D_
have yet to show a working prototype of a universal battery identifier. During the first Engage grant supported_x000D_
research, the specific characteristics of the various battery technologies were studied to determine the_x000D_
distinguishing features of each battery type. Battery classification was handled by fitting to physical models and_x000D_
then through data cleansing and machine learning techniques. The results showed that the proof of concept was_x000D_
successful. This initial success will be further developed with the company to create a universal battery_x000D_
monitoring and charging system., program purpose french : The importance of energy storage in the sustainable energy chain has resulted in an increasing number of_x000D_
battery technologies being introduced into the market. Utilizing each type of the battery to its full potential_x000D_
requires charging and discharging methods that are specific to the battery chemistry and the battery's state of_x000D_
the health. However, the technology behind the battery is not always known to the user. A method that enables_x000D_
the fast identification of the battery chemistry can be achieved through measuring its response to electrical or_x000D_
other perturbations. This approach could enable identification of the number of cells in a packaged battery and_x000D_
its appropriate and safe handling. Many major telecommunication device manufacturers have shown interest in_x000D_
this area by filing patents for such a device. However, these patented systems are directed towards use within_x000D_
the company and mainly distinguishes between the various battery models specific to the manufacturer. They_x000D_
have yet to show a working prototype of a universal battery identifier. During the first Engage grant supported_x000D_
research, the specific characteristics of the various battery technologies were studied to determine the_x000D_
distinguishing features of each battery type. Battery classification was handled by fitting to physical models and_x000D_
then through data cleansing and machine learning techniques. The results showed that the proof of concept was_x000D_
successful. This initial success will be further developed with the company to create a universal battery_x000D_
monitoring and charging system., agreement title english : Universal battery identification system, agreement title french : Universal battery identification system, agreement number : EGP2, agreement value : 12500.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada