December, 2023, CTI, Berlin

Design for Circularity with ePOP

A Software Solution built for Powertrain Optimisation of Performance, Cost and Sustainability.

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June, 2022, ATZ worldwide

Optimizing and De-risking the Selection of Electric Drives

The right powertrain selection is critical to the automotive industry’s transition to electric mobility. The Electrified Powertrain Optimization Process from Drive System Design reduces the risk at the initial stages by simulating thousands of configurations quickly to help identify the optimal powertrain, and with verifiable accuracy.

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November, 2019, CTI, China

Costly decisions creating product strategies robust to market instability and cost volatility

In a competitive and fast-paced EV marketplace, how can it be ensured that the right decisions today, will still be the right decisions tomorrow? With rapidly advancing technology, increases in demand, and uncertain supply chains, manufacturers must consider material availability and cost volatility alongside range and performance. Tools and processes need to adapt to not only optimise components but help manufacturers and their supply chain build robust product strategies.

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May, 2019, EVS32, Lyon, France 

Gearing up for lower cost electric drives - Accelerating the development of optimal electrified powertrain architectures

This paper will draw upon case studies derived from learning on projects, internal research and in testing to explore DSD's latest approaches to electric power train analysis and design which can help manufacturers develop lower cost and highly efficient system solutions by enabling them to fully understand and leverage complex sub-system trade-offs and interactions at a vehicle level within short development cycles.

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December, 2018, CTI, Berlin

Electric drivetrain architecture optimisation for autonomous vehicles based on representative cycles

As vehicle manufacturers adopt and integrate electric propulsion throughout their fleets, the costs associated with misguided decisions are increasingly large in such a competitive marketplace. The traditional tools and processes utilised to design and optimise powertrains have not necessarily kept up with updated technology, and the changing needs of the industry. In their rawest forms, the traditionally processes remain time consuming and fragmented, and overly dependent on subjective views, or unconscious bias towards ‘known solutions’. As a result, these processes make it challenging to objectively answer “what is the best electric powertrain for a given vehicle?”.

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