GM

Chevrolet uses artificial intelligence in the new generation of the 2.8L Duramax engine

In relation to automobile performance, some technologies have provided significant leaps forward, such as electronic injection. For experts, the next evolution will be the application of artificial intelligence (AI).

The feature allows systems to make decisions based on digital data to multiply the machine's ability to learn and perform complex tasks more quickly and efficiently.

Artificial intelligence and machine learning shape the innovative concept of the new S10. These resources were applied comprehensively to the product, from its conception phase to development and production.

Chevrolet's recently launched pick-up uses artificial intelligence, including in the parameterization of the new engine management software, to deliver a performance equation never seen before in the category.

“GM is a global leader in the development of utility vehicles and our legacy is based on innovation. Therefore, the new S10 can be as agile as much more powerful pick-ups, but consumes much less fuel. The application of artificial intelligence allows us to extract two other advantages: better drivability and reduced emissions”, explains Suelen Arice, Product Marketing Manager.

Calibrated with the support of artificial intelligence, the management software controls the new generation of the Duramax 2.8 engine, which works in harmony with the unprecedented 8-speed automatic transmission or the 6-speed manual transmission.

Thus, the top-of-the-line High Country version is capable of accelerating from 0 to 100 km/h in just 9.4s (1s faster than the previous model), while the average diesel consumption, according to Inmetro data, is at 9.5 km/l in the city and 11.4 km/l on the highway (up to 76 km extra range on the highway with each full tank). In the case of CO2 emissions, the reduction was approximately 13%.

The Duramax 2.8 engine itself was improved with the help of new digital engineering tools, which adopt artificial intelligence and machine learning to carry out simulated tests of different configurations and parameterizations.

In total, the new engine has more than 30 new features, such as the profile of the pistons, changes to the turbine and intake system - even the compression ratio has been adjusted to improve the combustion process.

The changes reflected an increase in power and torque, which rose, respectively, to 207 hp and 510 Nm. Furthermore, maximum strength is achieved in a wider range of rotation, between 1,600 and 2,400 rpm - precisely where the driver uses it most. the vehicle. “GM’s development team created models based on machine learning to optimize the parameters of the new S10’s engine management software. This control center is capable of processing hundreds of simulations per microsecond, also considering the condition of engine components to find the ideal calibration. This allows the maximum capacity to be extracted from the package”, says Daniel Takehana dos Santos, chief diesel engine engineer at GM.

Artificial intelligence and machine learning allow for much more precise refinement for each situation, based on driver demand.

This advanced management software considers more than 900 optimized parameters, including fuel pressure and injected quantity, turbine pressure, exhaust temperature and even natural component wear. External data such as atmospheric pressure, temperature and relative humidity are also analyzed every microsecond.

There is also a learning algorithm capable of memorizing previous conditions to optimize engine data processing during use, improving the driving experience.

Brutally more pick-up...The new S10 still differentiates itself through developments in design, comfort and connectivity, reinforcing its main strength: it is the medium pick-up that best combines work and leisure - the right option for those looking for a reliable service as well as a versatile everyday car.

The new Trailblazer, which shares the same mechanical base as the new S10, also benefits from this advanced engine management software and updates at GM's industrial complex in São José dos Campos.

The factory received investments to increase vehicle robustness and sustainability levels. It gained more sophisticated robots, a new paint oven, more work areas and quality control tools managed by artificial intelligence, including the one that checks the assembly and configuration of all vehicles on the production line.

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