Automotive engineering companies carries out significant of research activity as part of Fluid Mechanics and aerodynamics. They also carry out significant simulation for designing and validating the ADAS solutions.
As part of this the Computational Fluid Dynamics experimentation carried out involve massive amount of mathematical computation as part of these simulations. These simulations are carried out using the CFD application provided by multiple application software companies.
Floating point inherent challenges can cause problems for the automotive industry in a number of ways. One challenge is the limited precision of floating point numbers, which can lead to rounding errors and inaccuracies in calculations. For example, when a floating point number is rounded to fit within the limits of the computer’s memory or when it is converted from one representation to another, errors can occur.
Another challenge with floating point numbers is that they can suffer from accuracy loss when performing arithmetic operations, especially when numbers with very different magnitudes are involved. This can lead to errors in calculations and affect the accuracy of simulations and testing.
In the automotive industry, floating point inherent challenges can also cause problems with control systems, as they can lead to errors in the calculations used to control the various systems in a vehicle. For example, a control system that relies on floating point calculations to determine the position of a vehicle or the torque of an engine may be subject to errors that can affect its performance. This can affect the performance and reliability of these systems and potentially cause safety issues.
Our POSIT number system is addressing these inherent challenges.
