This article first constructs a multidisciplinary collaborative design framework based on model systems engineering, and supports parallel development with the "requirement-function-logic-physics" paradigm and a unified data model;Secondly, an active conflict resolution strategy integrating multi-disciplinary simulation forward-looking prediction and multi-objective optimization decision-making is proposed, promoting the design to shift from "experience driven" to "data-driven". Experimental verification shows that this strategy can effectively identify and resolve thermal performance conflicts, enhance the reliability and global optimality of the design scheme, and provide theoretical references and practical guidelines for the research and development of intelligent vehicles.