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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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