Need for speed: Using AI to accelerate powertrain calibration

Are two minds better than one? Chris Pickering learns how Cambridgeshire firm Secondmind is applying AI to powertrain calibration

Stock illustration of an EV powertrain
Stock illustration of an EV powertrain - stock.adobe.com

Engineering is the fusion of science and human creativity. It thrives on new ideas. But how much of an engineer’s time is actually spent creating or refining those ideas?

Many hours can be lost in mundane and repetitive tasks such as scheduling test programmes and analysing data. In some cases, there simply isn’t enough time to go through this process for all the design concepts, and potentially promising ideas have to be abandoned.

Perhaps more than any other sector, the automotive industry is experiencing these pressures at the moment. The incoming – and as yet unfinalised – Euro 7 regulations look set to add yet more complexity to ICE development at a time when most manufacturers are already diverting huge amounts of resources into electrification, which is itself a hugely complicated topic.

Artificial intelligence (AI) may hold the key to unpacking the vast data sets generated by these complex systems. It can speed up everyday tasks, automate processes and provide insight that might otherwise remain hidden.

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