News/Media | DSD | Drive System Design

Research Review: Where next for Machine Learning?

12/08/2020

Machine learning is hungry for data. In the immediate future one of our goals is to continue to improve our data acquisition and management techniques to ensure timely availability of sufficient quantities of good quality data for a given application. Drive System Design (DSD) is […]

Click Here

DSD challenges accepted dominance of permanent magnet machines

11/19/2020

DSD to challenge the accepted dominance of permanent magnet machines for EV propulsion Presentation at The Battery Show and EV Tech Digital Days will show surprising outcome from fundamental study Leading electrified powertrain engineering consultancy, Drive System Design (DSD), will challenge accepted views on motor […]

Click Here

Partner Press Release: Camcon Auto Partners with Drive System Design to Accelerate Development of Intelligent Valve Technology

11/16/2020

Intelligent Valve Technology (iVT) brings significant fuel consumption and emissions benefits for cars, trucks and heavy-duty applications, replacing the mechanical camshaft in an engine with electric actuators Partnership with Drive System Design will ramp up development of iVT Initial focus is on increasing the number […]

Click Here

DSD Inc achieves new industry standard for quality control

10/21/2020

Drive System Design Inc achieves new industry standard for quality control Drive System Design Inc has announced that it has been accredited for ISO/IEC 17025, which enables test reports and certificates to be accepted from one country to another without the need for further testing. […]

Click Here

Research Review: A decade of EV transmission projects – lessons learnt

09/16/2020

Drive System Design has been at the forefront of EV transmission technology for over a decade and in that time has worked on more than 70 EV transmission projects. In 2011, DSD commenced development of its own powertrain with an integrated multi-speed transmission called MSYS. […]

Click Here

Research Review: Improved Hybrid DCT Control

09/04/2020

A common approach when designing control system algorithms for Dual Clutch Transmission Systems (DCT) is to make use of fixed sequences (sequence-based) to perform specific actions, such as shifting. However, a fixed sequence becomes quite inflexible when presented with a ‘change of mind’, a request […]

Click Here

Research Review: Silencing the future – A System Level Approach To NVH Reduction

07/16/2020

Without a combustion engine to mask unwanted noise, electric vehicles require greater emphasis on the design of powertrain components and subsystems for low noise emissions. Despite growing industrywide understanding of vehicle NVH, issues continue to arise for manufacturers and suppliers alike as they pursue greater […]

Click Here

Research Review: Future-proofing the EV powertrain against cost volatility

07/03/2020

Recent lockdowns around the world have had a pronounced effect on the environment. Throughout the beginning of the UK’s lockdown, most of its major cities saw a significant reduction in NO2 emissions. This was a direct result of reduced road traffic, as it accounts for […]

Click Here

Research Review: Machine learning part 2 – Prognostics and health management (PHM)

06/03/2020

AI, fuelled by machine learning from data, will undoubtedly accelerate engineering progress for the foreseeable future. At DSD, we continually look for opportunities to leverage new technologies, so have been exploring ways in which machine learning could shorten development cycles, reduce costs and improve product […]

Click Here

Research Review: SPH Fluid Modelling for Increased EV Range

04/30/2020

Range anxiety and purchase price are key obstacles for the adoption of EVs, so the challenge remains to improve efficiency and extend range without pushing up vehicle cost. While aerodynamic drag is the main source of energy loss at high speeds, under 80km/h the most […]

Click Here

Research Review: Machine Learning for Fast & Accurate Modelling

04/14/2020

Artificial intelligence, fueled by machine learning, will undoubtedly accelerate future engineering achievement. In the automotive industry, with commercial pressures and public safety concerns, AI is seen as integral to delivering advanced systems such as ADAS and autonomous vehicles in a timely yet safe manner. Machine […]

Click Here

Research Review: Novel Composite Rotor Sleeve for Enhanced eMotor Power Density

03/31/2020

Increasing the spin speed of the electric machine is widely believed to be one of the most attractive ways to improve power density, with the goal of increasing efficiency and therefore the range of electric vehicles without increasing the size, cost and mass of the […]

Click Here