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Optimizing off-road equipment with system simulation

General introduction  
Market demands, and regulation organizations are calling for improved performance, in terms of pollutant emissions, machine work output, and ownership cost. Additional drivers include operators working conditions and comfort. 
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Reach 50% efficiency of your off-road engines while complying with emission regulations
Guest speaker: Bakir Puran from Liebherr Machines Bulle
Even if we are currently hearing a lot about electrification, off-road vehicles remain mainly powered by internal combustion engine (almost nearly 100% for construction equipment). Nevertheless, heavy equipment OEMs still need to comply with the total cost of ownership reduction objectives and emission regulations. By 2020, they may reach the 50% engine efficiency target – positioned between 30-40% today. This requires investigating several means for OEMs and engine suppliers.
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Verify and validate controls system design to reach the testing phase with an advanced and qualitative prototype
More and more heavy equipment systems are being controlled to be more efficient and meet environmental regulations.  Software code size deployed to implement control logics has increased dramatically over the past decade. This implies an increasing number of parameter combinations. Management of conflicting calibration requirements and attributes through physical validation and testing is not sustainable anymore in terms of development cost and time. A new approach is essential, and model-based design including virtual verification and validation becomes a critical success factor.
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Virtually perform hybrid architecture design exploration and optimization
Pushed by stringent regulations (CO2 and low emission zones) and market competition (total cost of ownership), heavy equipment industrial players start to see a shift to electrified machines. To support this revolution, OEMs and suppliers have to predict the performance of their electrified systems as early as possible. System simulation can support you over several innovation areas to optimize fuel economy, productivity, and autonomy.
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Our system simulation solution enables to accurately assess and optimize the performance of off-road sub-systems and complete system, at early development stage.

Implementing the digital twin with Simcenter
Simcenter Amesim solutions for heavy equipment engineering