Modern means of transport, from passenger cars to heavy-duty road and waterborne transport have to meet increasingly strict emission regulations and greenhouse gas targets.
These future challenges will be met with a range of increasingly complex powertrain technologies. For heavy-duty trucks, an example of a solution could be a combination of:
Finally, an integrated development approach is necessary to maximize the overall system efficiency. In order to reduce the system development effort TNO has developed an unique methodology based on a combination of state-of-the-art testing facilities and virtual development.
First, the real system is captured by a representative mathematical model based on TNO’s component library. What is unique is that all of our models are physics-based and validated in our own facilities. They are fully predictive and scalable, control oriented and can be implemented in real-time.
Each component model is provided with a dedicated fit-tool enabling an easy, systematic calibration for your specific application. Furthermore, the validated models are used to develop controls.
At TNO, we develop control strategies for:
Our solutions can be implemented directly on your programmable controller to maximize performance online, in real-world operating conditions. Before implementation on a real object, TNO’s virtual testing environment allows time- and cost-efficient verification of control functionality performance and robustness.
The control unit is tested in a hardware-in-the-loop environment using state-of-the-art rapid prototyping tools. The system components and the environment are simulated while the control algorithm runs in real-time.
Before going on the road, TNO provides ultimate system validation. This is performed on our state-of-the-art experimental facilities:
TNO Powertrains has a strong international track record for different applications from passenger cars to heavy-duty road and waterborne transport. This makes us the ideal applied knowledge partner in innovative solutions for tomorrow’s challenges.