换电重卡是推动绿色物流园区建设的重要途径。然而，换电站在建设过程中面临的电力接入难度大、增容困难等问题，在一定程度上制约了换电重卡的规模化推广与盈利能力的提升。为此，本文在园区换电重卡-换电站系统中，引入移动储能车（Mobile Energy Storage Vehicles，MESV）作为灵活调度资源，提出面向刚性重卡负荷场景的综合能源调度策略。首先，基于典型日风光火多源出力场景，构建包含厂内—厂外协同充放电约束与运输资源限制的MESV全状态转移模型。其次，以系统运行总成本为最小化为目标，提出考虑MESV状态、充放电功率与运输安排的混合整数线性规划方法，并通过最小可行配置边界判定与MESV数量-放电时长的耦合特征相结合，确定可运行阈值。最后，基于某工业园区的多场景仿真结果表明：所提策略不仅能保障厂内外充放电的时序连续性，还能在最低运行边界下,采用最少数量的MESV配置实现任务完成时间与运行经济性之间达成最佳平衡，充分体现了该策略在电网接入受限，约束耦合工况下的工程决策价值。

Battery-swapping heavy trucks play a crucial role in developing green logistics parks, though their large-scale deployment faces challenges from limited grid access capacity at swapping stations. To address these challenges, this paper introduces Mobile Energy Storage Vehicles (MESV) as flexible dispatch resources within the truck-station system and proposes a comprehensive energy scheduling strategy for rigid heavy-truck load scenarios. Firstly, based on typical daily wind-solar-thermal power output scenarios, we establish a full-state transition model of MESV that incorporates coordinated charging/discharging constraints between plant and field sites, along with transportation resource limitations. Secondly,aiming to minimize total operating costs, we develop a mixed-integer linear programming method that simultaneously optimizes vehicle states, charging/discharging power, and transport arrangements. By integrating minimum feasible configuration determination with vehicle-discharge duration coupling analysis, we identify operational thresholds. Finally, multi-scenario simulations demonstrate that our strategy ensures temporal continuity of coordinated charging/discharging operations while achieving optimal balance between task completion time and operational economy under the minimum operational boundary, highlighting its practical value in grid-constrained environments.