文章首先构建基于模型系统工程的多学科协同设计框架，以“需求 - 功能 - 逻辑 - 物理”范式与统一数据模型支撑并行开发；其次提出融合多学科仿真前瞻预测与多目标优化决策的主动冲突消解策略，推动设计从“经验驱动”转向“数据驱动”。试验验证表明，该策略可有效识别并消解热性能冲突，提升设计方案可靠性与全局最优性，为智能汽车研发提供理论参考与实践指南。

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.