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A题/AAA常用/AI交互所需文件/目录结构.md
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A题/AAA常用/AI交互所需文件/目录结构.md
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以下是为您定制的**2026 MCM Problem A** 最终目录结构。该结构严格遵循学术论文规范,完美契合您现有的 `模型3`(微分方程组、电热耦合、Sobol灵敏度、随机过程UQ)的内容深度。
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---
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### 中文目录结构 (Chinese Version)
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**目录**
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**1. 引言 (Introduction)**
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1.1 问题背景与重述 (Background and Problem Restatement)
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1.2 文献综述 (Literature Review)
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1.3 本文工作与创新点 (Our Contributions)
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**2. 假设与符号说明 (Assumptions and Notations)**
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2.1 基本假设与物理依据 (General Assumptions and Physical Justifications)
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2.2 符号约定 (Notations)
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**3. 连续时间电-热-老化耦合模型的构建 (Model Formulation)**
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3.1 状态空间定义:从SOC到极化电压 (State-Space Definition: From SOC to Polarization)
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3.2 多物理场功率映射机制 (Multiphysics Power Mapping)
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3.2.1 屏幕与处理器的非线性功耗 (Nonlinear Power of Screen and CPU)
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3.2.2 考虑信号质量惩罚与射频拖尾的网络模型 (Network Model with Signal Penalty and Radio Tail)
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3.3 电化学-热力学耦合动力学 (Electrochemical-Thermal Coupled Dynamics)
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3.3.1 改进的Shepherd电压模型 (Modified Shepherd Voltage Model)
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3.3.2 集总参数热平衡方程 (Lumped-Parameter Thermal Balance Equation)
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3.4 恒功率负载(CPL)下的电流闭环与电压坍塌条件 (Current Closure and Voltage Collapse under CPL)
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**4. 参数辨识与验证 (Parameter Estimation and Validation)**
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4.1 混合参数估计算法 (Hybrid Parameter Estimation Strategy)
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4.2 基准工况下的模型验证 (Model Validation under Baseline Scenarios)
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**5. 电池耗尽时间(TTE)预测与场景分析 (TTE Prediction and Scenario Analysis)**
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5.1 五种典型用户场景的TTE量化 (Quantification of TTE in Five Typical Scenarios)
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5.2 关键耗电驱动因子分析 (Analysis of Key Drivers for Battery Drain)
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5.2.1 信号质量对功耗的非线性放大效应 (Nonlinear Amplification of Signal Quality)
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5.2.2 环境温度对有效容量的制约 (Constraints of Ambient Temperature on Effective Capacity)
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**6. 模型评估:误差分析、灵敏度与不确定性量化 (Model Evaluation: Error, Sensitivity, and UQ)**
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6.1 误差来源分类与确定性验证 (Taxonomy of Errors and Deterministic Validation)
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6.2 基于Sobol指数的全局灵敏度分析 (Global Sensitivity Analysis via Sobol Indices)
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6.3 基于Ornstein-Uhlenbeck过程的不确定性量化 (Uncertainty Quantification via Ornstein-Uhlenbeck Process)
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6.4 极端条件下的压力测试 (Stress Testing under Extreme Conditions)
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**7. 策略建议 (Recommendations)**
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7.1 面向用户的行为优化指南 (User-Centric Optimization Guide)
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7.2 面向操作系统的智能调度策略 (OS-Level Intelligent Scheduling Strategy)
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**8. 结论 (Conclusion)**
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8.1 模型总结 (Summary of the Model)
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8.2 优势与局限性 (Strengths and Limitations)
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8.3 未来工作展望 (Future Work)
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**参考文献 (References)**
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**附录 (Appendices)**
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---
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### 英文目录结构 (English Version)
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**Table of Contents**
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**1. Introduction**
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1.1 Background and Problem Restatement
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1.2 Literature Review
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1.3 Our Contributions
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**2. Assumptions and Notations**
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2.1 General Assumptions and Physical Justifications
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2.2 Notations
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**3. Formulation of the Continuous-Time Electro-Thermal-Aging Model**
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3.1 State-Space Definition: From SOC to Polarization
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3.2 Multiphysics Power Mapping Mechanism
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3.2.1 Nonlinear Power Consumption of Screen and CPU
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3.2.2 Network Model with Signal Penalty and Radio Tail Dynamics
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3.3 Electrochemical-Thermal Coupled Dynamics
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3.3.1 Modified Shepherd Voltage Model
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3.3.2 Lumped-Parameter Thermal Balance Equation
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3.4 Current Closure and Voltage Collapse Conditions under Constant Power Load (CPL)
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**4. Parameter Estimation and Validation**
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4.1 Hybrid Parameter Estimation Strategy
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4.2 Model Validation under Baseline Scenarios
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**5. Time-to-Empty (TTE) Prediction and Scenario Analysis**
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5.1 Quantification of TTE in Five Typical User Scenarios
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5.2 Analysis of Key Drivers for Battery Drain
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5.2.1 Nonlinear Amplification Effect of Signal Quality
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5.2.2 Constraints of Ambient Temperature on Effective Capacity
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**6. Model Evaluation: Error Analysis, Sensitivity, and Uncertainty Quantification**
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6.1 Taxonomy of Errors and Deterministic Validation
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6.2 Global Sensitivity Analysis via Sobol Indices
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6.3 Uncertainty Quantification via Ornstein-Uhlenbeck Stochastic Processes
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6.4 Stress Testing under Extreme Conditions
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**7. Recommendations**
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7.1 User-Centric Optimization Guide
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7.2 OS-Level Intelligent Scheduling Strategy
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**8. Conclusion**
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8.1 Summary of the Model
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8.2 Strengths and Limitations
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8.3 Future Work
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**References**
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**Appendices**
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---
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### 结构设计亮点说明 (Design Highlights)
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1. **Section 3 (Model Formulation)**:
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* 使用了 **"Electro-Thermal-Aging"** 和 **"Multiphysics"** 这样的词汇,强调了模型的物理深度。
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* 特意提到了 **"Radio Tail" (射频拖尾)** 和 **"CPL" (恒功率负载)**,这是你模型中区别于普通线性模型的两大亮点,必须在目录中体现。
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2. **Section 5 (TTE Prediction)**:
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* 将单纯的“计算结果”提升为 **"Scenario Analysis" (场景分析)**。
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* 明确列出 **"Signal Penalty" (信号惩罚)** 和 **"Temperature Constraints" (温度约束)**,直接回应题目关于“哪些因素导致电量快速耗尽”的提问。
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3. **Section 6 (Model Evaluation)**:
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* 这是最能体现数学建模水平的章节。使用了 **"Sobol Indices"** (全局灵敏度) 和 **"Ornstein-Uhlenbeck Process"** (随机过程),展示了你对不确定性量化 (UQ) 的高级处理方法,远超一般的误差分析。
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4. **逻辑流**:
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* 从物理机理 (Sec 3) -> 参数确定 (Sec 4) -> 实际应用 (Sec 5) -> 鲁棒性评估 (Sec 6) -> 最终建议 (Sec 7),逻辑链条非常清晰严密。
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