Big Data Analytics (Telematics) for Real-Time Testing Improvements and Integration Back to the Development of Future Models/EVs

The Auto industry has relied upon traditional testing methodologies for product development and Quality testing since its inception. As technology changed, it brought a shift in customer demand for better vehicles with the highest quality standards. With the advent of EVs, OEMs are looking to reduce the going-to-market time for their products to win the EV race. Traditional testing methodologies have relied upon data received from various stakeholders and based on the same tests are planned. The data used is highly subjective and lacks variety. OEMs across the world are betting big on telematics solutions by pushing more and more vehicles with telematics devices as standard fitment. The data from such vehicles which gets generated in high levels of volume, variety and velocity can aid in the new age of vehicle testing. This live data cannot be simply simulated in test environments. The device generates hundreds of signals, frequently in a fraction of seconds. Multiple such signals can be combined to create KPIs that correspond to specific traits of vehicle health. Specific telematics KPIs can be used as inputs in test benches. With this data, the vehicle gets tested against real-world conditions. Another important aspect of vehicle testing is road conditions. OEMs can only do so much in testing the vehicles in various different road conditions. However, with telematics devices road condition data can be directly generated corresponding to the international roughness index. This data along with KPIs will bring in a new perspective of vehicle development testing and enable the manufacturer to better understand market problems and to take effective countermeasures. With these KPIs, Possibilities are limitless, and these data can be used to create a digital twin of the vehicle, enabling the OEM to assess the vehicle without even physically attending.