Existing testing approaches are time consuming taking several months to run 1000s of tests on 100s of samples. The tests are destructive meaning the batteries tested are not usable when testing is complete. Data collected from testing is only valid for the batch of batteries testes (i.e., they are tied to battery chemistry). As battery consumption increases, the length of time to test batteries becomes critical. If supplies are depleted before testing is completed, the testing results are worthless.
Is Machine Learning a Battery Test Engineer's New Best Friend?
Posted by
Darren Schmidt on Jan 16, 2024 11:41:54 AM
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Topics: Analytics, Electric Cars, EV
What Will Drive the Autonomous Vehicle Revolution? - How Today's Aircraft Automation Helps Self-Driving Cars of Tomorrow
Posted by
Darren Schmidt on Dec 17, 2018 6:52:00 PM
The automotive industry is working toward a revolutionary event, a truly autonomous vehicle—one in which a human driver is no longer required. To accomplish this, automotive companies have focused R&D teams, whose mission is evolving and growing onboard automated safety systems. Today onboard safety systems include features such as airbags and anti-lock brakes. For autonomous driving to become a reality, more dynamic safety systems are needed, for example collision detection/avoidance, and smart cruise control with vehicle-controlled lane changing.
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Topics: Autonomous Vehicles, Sensor Data, aerospace, ADAS