Batal­yse GmbH: Auto­mat­ed eval­u­a­tion of bat­tery data and pro­vi­sion for AI processes

Elec­tro­chem­i­cal ener­gy stor­age and fuel cell tech­nolo­gies are key ele­ments for a suc­cess­ful ener­gy tran­si­tion. With mod­u­lar soft­ware pack­ages, Batal­yse GmbH, a spin-off of the Fraun­hofer Insti­tute for Chem­i­cal Tech­nol­o­gy ICT, enables the auto­mat­ed acqui­si­tion, doc­u­men­ta­tion and eval­u­a­tion of test data from bat­ter­ies, accu­mu­la­tors and fuel cells. Based on the visu­al­ized results, mate­r­i­al man­u­fac­tur­ers and cell devel­op­ers as well as R&D depart­ments can fur­ther devel­op and opti­mize their prod­ucts in a tar­get­ed and effec­tive manner.

In bat­ter­ies and fuel cells, opti­mized mate­ri­als and com­po­nents such as elec­trodes, active mate­ri­als, elec­trolytes and sep­a­ra­tors deter­mine the ser­vice life, qual­i­ty and per­for­mance of the sys­tem. For elec­tro­mo­bil­i­ty or sta­tion­ary ener­gy stor­age, new, sus­tain­able, recy­clable mate­r­i­al com­bi­na­tions are need­ed that are dis­tin­guished from avail­able sys­tems, for exam­ple, by a high­er ener­gy den­si­ty or low­er man­u­fac­tur­ing costs. To accel­er­ate the search for new mate­ri­als and the right mate­r­i­al mix, Batal­yse GmbH offers a mod­u­lar soft­ware solu­tion for effec­tive data eval­u­a­tion and infor­ma­tion man­age­ment. The spin-off was found­ed in May 2021 as an inde­pen­dent com­pa­ny from the Fraun­hofer ICT in Pfinz­tal by Dr. Markus Hagen and his col­league and CTO of Batal­yse GmbH, Eran Nave.

Best pos­si­ble bat­tery of the future

“Man­u­fac­tur­ers sub­ject their bat­ter­ies and mate­ri­als to con­tin­u­ous con­trols and check numer­ous para­me­ters such as the qual­i­ty of the pro­duc­tion process­es or the elec­trodes. We sup­port com­pa­nies in this with our three soft­ware mod­ules Data Analy­sis, Col­lect and Mind, in order to ulti­mate­ly devel­op the best bat­tery of the future,” says Dr. Markus Hagen, CEO of Batal­yse GmbH. Data Analy­sis eval­u­ates bat­tery data and elec­tro­chem­i­cal tests from both lab­o­ra­to­ry test cells and com­mer­cial cells and com­pares the val­ues. For exam­ple, buy­ers of bat­tery cells will be able to com­pare sup­pli­ers and pro­duc­tion batch­es. Which bat­tery cell per­forms best is imme­di­ate­ly apparent.

Data Analy­sis eval­u­ates inde­pen­dent­ly of the test device used and is com­pat­i­ble with all file for­mats and file struc­tures — a major advan­tage over com­pet­ing prod­ucts. The Col­lect and Mind mod­ules are avail­able sep­a­rate­ly, but it is rec­om­mend­ed to use the com­plete pack­age, as all mod­ules inter­lock. Col­lect data man­age­ment soft­ware auto­mat­i­cal­ly col­lects and cen­tral­ly stores all raw data and asso­ci­at­ed meta­da­ta. The tool is not lim­it­ed to bat­ter­ies and fuel cells, but also col­lects process, analy­sis, pro­duc­tion and image data. Mind visu­alis­es this data from Col­lect and adds addi­tion­al infor­ma­tion such as cus­tomer, test item, mate­r­i­al and project data, which can be cat­e­gorised, fil­tered and net­worked. An autho­riza­tion man­age­ment sys­tem reg­u­lates who has access to the respec­tive data and enables projects to be shared with cus­tomers. In addi­tion, the results that Data Analy­sis deliv­ers can be saved again in Col­lect and dis­played in Mind. Col­lect and Mind cap­ture all data and infor­ma­tion and thus pro­vide the basis for the use of arti­fi­cial intel­li­gence. “In research, devel­op­ment and pro­duc­tion, data eval­u­a­tion and doc­u­men­ta­tion costs a lot of time. Behind a sim­ple mea­sure­ment are chains of infor­ma­tion with hun­dreds of para­me­ters on mate­ri­als, process­es and tools. By com­bin­ing our soft­ware mod­ules, we auto­mate the entire data pro­cess­ing and can pre­pare data and infor­ma­tion for an AI deploy­ment,” adds the CEO.

While Data Analy­sis is already avail­able, the pro­to­types Mind and Col­lect are cur­rent­ly being used at the Fraun­hofer ICT. They should be avail­able in ear­ly 2022. How­ev­er, indus­tri­al cus­tomers can already test both modules.