The variety of transmissions available for sale today has grown exponentially within the last 15 years, all while increasing in complexity. The result is definitely that we are actually coping with a varied quantity of tranny types including manual, typical automatic, automatic manual, dual clutch, constantly adjustable, split power and pure EV.
Until very recently, automotive vehicle manufacturers largely had two types of tranny to select from: planetary automated with torque converter or conventional manual. Today, however, the volume of choices available demonstrates the changes seen over the industry.

That is also illustrated by the countless different types of vehicles now being manufactured for the marketplace. And not merely conventional vehicles, but also all electric and hybrid automobiles, with each type requiring different driveline architectures.

The traditional development process involved designing a transmission in isolation from the engine and all of those other powertrain and vehicle. Nevertheless, this is changing, with the limitations and complications of this method becoming more widely recognized, and the continuous drive among manufacturers and designers to provide optimal efficiency at decreased weight and cost.

New powertrains feature close integration of components like the prime mover, recovery systems and the gearbox, and also rely on highly advanced control systems. That is to guarantee that the best amount of efficiency and efficiency is delivered all the time. Manufacturers are under increased pressure to create powertrains that are completely new, different from and better than the last version-a proposition that’s made more complex by the need to integrate brand components, differentiate within the market and do everything on a shorter timescale. Engineering groups are on deadline, and the development process must be better and fast-paced than previously.
Until now, the use of computer-aided engineering (CAE) has been the most common way to develop drivelines. This technique involves components and subsystems designed in isolation by silos within the organization that lean toward tested component-level analysis tools. While they are highly advanced tools that allow users to extract extremely dependable and accurate data, they remain presenting data that is collected without factor of the complete system.

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