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AISIN to invest $3.4B over next three years in BEV and intelligence products; move to gigacasting

Japan-based global automotive supplier AISIN said that it will invest ¥500 billion (US$3.4 billion) over the next three years to ramp up its product offerings…

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This article was originally published by Green Car Congress

Japan-based global automotive supplier AISIN said that it will invest ¥500 billion (US$3.4 billion) over the next three years to ramp up its product offerings for battery-electric vehicles and vehicle intelligence.

The supplier intends to revamp its product portfolio, and will establish BEV products, safe and comfortable entry, and braking systems as growth areas, and aim to achieve sales in the order of ¥5.5–6 trillion (US$37.2-40.6 billion) by 2030.

Aisin1

Major initiatives in the BEV area will include:

  • eAxles. AISIN is engaging in the advance development of miniaturization technologies, thermal management technologies, packaging technologies that package various components, and “Xin1,” which features an integrated control of those technologies, as a third-generation product lineup to be launched in 2027.

    Aisin2

  • Battery frames. AISIN has been accelerating the development of battery frames not only to protect batteries in the event of a collision, but also to improve energy consumption and reduce battery degradation with thermal management.

    Aisin3

    For this purpose, AISIN has been planning and conceptualizing functionally integrated body components using gigacasting to reduce the number of components.

  • Braking systems. AISIN is developing cooperative regenerative braking systems and electric-assisted parking brakes.

For the intelligence area, AISIN will integrate vehicle control technology for comprehensive control of products related to driving, turning and stopping, such as eAxle and steering, in addition to braking systems for total control according to vehicle status.

AISIN will add sensing functions using sonars and cameras to system products, such as power sliding doors, and integrate cognition, judgment, and movement to realize “stress-free entry“ and a “comfortable mobile space” that enable safety assistance and behavior prediction based on the situation.

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