The variety of transmissions available for sale today is continuing to grow exponentially in the last 15 years, all while increasing in complexity. The effect is that we are actually coping with a varied quantity of tranny types including manual, regular automatic, automatic manual, dual clutch, continually variable, split power and pure EV.
Until very recently, automotive vehicle producers largely had two types of transmission to choose from: planetary automatic with torque converter or conventional manual. Today, nevertheless, the volume of options avaiable demonstrates the changes seen over the industry.

This is also illustrated by the many various kinds of vehicles now being manufactured for the marketplace. And not merely conventional vehicles, but also all electric and hybrid vehicles, with each type needing different driveline architectures.

The traditional advancement process involved designing a transmission in isolation from the engine and the rest of the powertrain and vehicle. Nevertheless, that is changing, with the restrictions and complications of this method becoming more more popular, and the constant drive among producers and designers to deliver optimal efficiency at decreased weight and cost.

New powertrains feature close integration of elements like the prime mover, recovery systems and the gearbox, and in addition rely on highly advanced control systems. This is to assure that the very best amount of efficiency and performance is delivered at all times. Manufacturers are under improved pressure to create powertrains that are brand new, different from and better than the last version-a proposition that’s made more complex by the necessity to integrate brand components, differentiate within the marketplace and do everything on a shorter timescale. Engineering groups are on deadline, and the advancement process must be more efficient and fast-paced than ever before.
Until now, the utilization of computer-aided engineering (CAE) has been the most typical way to build up drivelines. This process involves parts and subsystems designed in isolation by silos within the organization that lean toward tested component-level analysis tools. While they are highly advanced equipment that enable users to extract very reliable and accurate data, they remain presenting data that’s collected without account of the complete system.

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