Using Computer Vision and Sensors To Automate Motor Cooling System Testing

The Challenge

With electric vehicles increasingly dominating the transportation, earthmoving industry, the demand for efficient and dependable motor subsystems in load-carrying vehicles has skyrocketed. A significant challenge is managing the substantial heat generated by AC induction motors using closed-loop cooling systems. Traditional thermal stress testing methodologies often require engineers to physically inspect these cooling systems, a process that is not only tedious and uncomfortable, but also prone to errors and safety risks.

The Solution :? Computer Vision and Sensor Driven Solution?

We developed a turnkey solution which is a fusion of? cutting-edge computer vision and sensor technology. The developed module makes use of multiple cameras that provide automated monitoring of the cooling system, effectively pinpointing any leaks. Multiple computer vision algorithms have been integrated into a number of routines we've created to enable these functions. These routines, which use industry-standard segmentation, feature extraction, and classification algorithms, are specifically designed to identify and precisely locate any leaks. To further enhance our system's predictive capabilities, we've also incorporated a temperature sensor into the coolant line near the motor, enabling the early detection of potential leaks.

The solution has undergone stringent validation, enduring various pass and fail scenarios to ensure its reliability. The result is an effective camera-based test unit, which has been successfully launched as an automated motor testing tool.? By eliminating the need for human involvement, we've significantly reduced errors to near-zero levels during thermal stress testing. Now, engineers can monitor the system remotely, focusing only on the events flagged by our algorithms, all from the safety and comfort of their desks.

This innovation provides a robust and efficient method for testing and ensuring the quality of motor subsystems in load-carrying electric trucks, earthmovers. It's a step towards safer, more sustainable testing procedures.

#ElectricVehicles #ComputerVision #SensorTechnology #AutomatedMonitoring #LeakDetection #MachineLearning #Automation #Safety