With the rapid development of intelligent vehicles, the concept of "software-defined vehicles" has increasingly taken root in people's hearts. Under the framework of this concept, only by achieving rapid iterative updates of software can the competitiveness of vehicles be ensured. However, in the increasingly frequent OTA upgrade activities,the overly long OTA upgrade time has suppressed users' willingness to trigger upgrades. Therefore, how to shorten the perceptible upgrade time for users has become the key to enhancing user experience. Based on this, the article proposes an OTA parallel upgrade method based on FA collaborative scheduling, optimizing the original serial upgrade mode to a parallel upgrade. Verified through real vehicle tests, the method proposed in this paper can significantly shorten the upgrade time.