Skip to main content

Nissan’s new analysis method may boost driving range of EVs

Nissan Motor Company and Nissan Arc have jointly developed an atomic analysis methodology that they claim will aid in boosting the performance of lithium-ion batteries and ultimately extend the driving range of zero-emission electric vehicles (EVs). The breakthrough was the result of a combined R&D effort between Nissan Arc, a Nissan subsidiary, Tohoku University, the National Institute for Materials Science (NIMS), the Japan Synchrotron Radiation Research Institute (JASRI) and Japan Science and Technolo
May 16, 2016 Read time: 2 mins
838 Nissan Motor Company and Nissan Arc have jointly developed an atomic analysis methodology that they claim will aid in boosting the performance of lithium-ion batteries and ultimately extend the driving range of zero-emission electric vehicles (EVs).

The breakthrough was the result of a combined R&D effort between Nissan Arc, a Nissan subsidiary, Tohoku University, the National Institute for Materials Science (NIMS), the Japan Synchrotron Radiation Research Institute (JASRI) and Japan Science and Technology Agency (JST).

The analysis examines the structure of amorphous silicon monoxide (SiO), widely seen as key to boosting next-generation lithium-ion battery (Li-ion) capacity, allowing researchers to better understand electrode structure during charging cycles.

Silicon (Si) is capable of holding greater amounts of lithium compared with common carbon-based materials, but in crystalline form possesses a structure that deteriorates during charging cycles, ultimately impacting performance. However, amorphous SiO is resistant to such deterioration.

Its base structure had been unknown, making it difficult for mass production. However, the new methodology provides an accurate understanding of the amorphous structure of SiO, based on a combination of structural analyses and computer simulations. The new findings indicate that its structure allows the storage of a larger number of Li-ions, in turn leading to better battery performance.

For more information on companies in this article

Related Content

  • Transportation infrastructure technology continues its advance
    July 17, 2012
    It is now 20 years since publication of the Strategic Plan for Intelligent Vehicle Highway Systems. A select group of luminary figures of the ITS industry give their assessment of progress to date This year the IVHS Strategic Plan turns 20, signaling the graduation of the field of Intelligent Transportation Systems from its tumultuous teens to young adulthood. After two decades tethered by the cords of youth and protected by the strict control of adult institutions, ITS has reached a turning point. Its y
  • Transportation infrastructure technology continues its advance
    July 17, 2012
    It is now 20 years since publication of the Strategic Plan for Intelligent Vehicle Highway Systems. A select group of luminary figures of the ITS industry give their assessment of progress to date This year the IVHS Strategic Plan turns 20, signaling the graduation of the field of Intelligent Transportation Systems from its tumultuous teens to young adulthood. After two decades tethered by the cords of youth and protected by the strict control of adult institutions, ITS has reached a turning point. Its y
  • Transportation infrastructure technology continues its advance
    July 17, 2012
    It is now 20 years since publication of the Strategic Plan for Intelligent Vehicle Highway Systems. A select group of luminary figures of the ITS industry give their assessment of progress to date This year the IVHS Strategic Plan turns 20, signaling the graduation of the field of Intelligent Transportation Systems from its tumultuous teens to young adulthood. After two decades tethered by the cords of youth and protected by the strict control of adult institutions, ITS has reached a turning point. Its y
  • First-of-a-kind collaboration to analyse real-time traffic patterns and individual commuter travel history
    February 3, 2012
    IBM has announced a new collaboration with the California Department of Transportation (Caltrans) and California Center for Innovative Transportation (CCIT), a research institute at the University of California, Berkeley, to develop an intelligent transportation solution that will help commuters avoid congestion and enable transportation agencies to better understand, predict and manage traffic flow.