Driven by the need to lower emissions and noise, the global heavy equipment market is transitioning to hybrid, electric, or even hydrogen powertrains, impacting all parts of the supply chain. These newly deployed technologies in the heavy equipment sector strongly impact the engineering process. Defining the right machine design is complex and requires engineers to learn and increase their expertise in a new domain.
In this webinar, Gaétan Bouzard – Simcenter Heavy Equipment lead – explains how developing digital twins can virtually assess the performance of systems like battery, motor, and power electronics independently or once integrated into the complete machine.
While the electrification of heavy machinery and equipment creates complexity at all stages of production, innovative technologies exist to help manufacturers move to this new powertrain. A system simulation solution has the advantage of proposing ready-to-use models, part of dedicated electric domain libraries, with correct physics embedded, for the user to enter the key parameters of different electrical components. System simulation allows engineers to compute a first evaluation of the new electrified machine performances and size electric components and define requirements for suppliers. Additionally, it enables a virtual environment to validate engineering decisions early in the development cycle and avoid expensive future countermeasures.
The benefits of deploying a comprehensive digital twin enable the pervasive use of virtual prototypes and accurate models throughout the heavy equipment development cycle. A digital twin allows you to digitally capture all phases of the product development process: from ideation to the realization phase, then finally the utilization phase. As part of the comprehensive digital twin, these different digital representations should not be siloed. They should be leveraged at every step in the product development process to continuously improve products and product production from requirements to manufacturing to product in use.
From Siemens' perspective, accelerating and improving the development of an advanced control strategy can be achieved using a model-based design approach to allow fast and safe verification and validation of electric component management systems. Strengthened by decades of control development expertise, Siemens Engineering Services will support the control engineering team by deploying such a model-based approach; From requirements to control feature development using advanced techniques and even control validation process optimization.
Register now and learn how the right design enables end-users in the heavy equipment construction, agricultural, or mining field to reach expected performance levels - or beyond - while ensuring the machine complies with stricter standards for noise and gas emissions.