Ricardo Software 2020.4
The 2020.4 release from Ricardo Software is now available including updates to a range of our software products.
A series of advanced new features will deliver for you class-leading real time solutions delivering improved accuracy, usability and efficiency ultimately to reduce emissions and meet the challenges of vehicle hybridisation and electrification.
Get more details below.
NOTE: You must update Ricardo License Manager to version 11.15 to use Ricardo Software 2020.4
How to download License Manager v11.15
Our leading 1D predictive plant model has just got even better with the next generation of WAVE-RT. 2020.4 sees significant improvement in model fidelity whilst improving real time multiplier values.
Research and development also continues to push the boundaries on Internal Combustion Engine (ICE) modelling in every VECTIS release, with the constant focus on the global goal of reducing engine emissions and targeting EURO7, China7 and CAFÉ legislation. We are proud to announce a significant step forward in our simulation offerings with the first release of Ricardo’s detailed direct kinetics combustion model.
View all new Fluid Dynamics features
With the ongoing requirement to reduce emissions and carbon footprint, the automotive industry continues to adapt and develop new technologies to meet the targets. In response to this, IGNITE is now capable of modelling fuel cell systems with a newly introduced fuel cell library, allowing the user to quickly investigate different strategies using the technology.
Hardware in the Loop (HiL) integration of plant and control models is an ever increasing part of the development process. System and plant models built in IGNITE are ideally suited for use in the HiL integration process and with this release these models can be exported to the ETAS hardware environment.
View all new Systems Engineering features
Updates to ENGDYN sees greater user control and increased accuracy with automated mesh refinement for EHD bearing models.
Updates to shaft profiling within SABR means users can now model internal and external profiles separately, significantly improving productivity.