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A题/ZJ_v2/fig14_lifecycle_degradation.py

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+"""
+Fig 14: Lifecycle Degradation (Aging)
+Shows SOH and TTE evolution over multiple charge cycles
+"""
+
+import os
+import numpy as np
+import matplotlib.pyplot as plt
+from plot_style import set_oprice_style, save_figure
+
+def make_figure(config):
+    """Generate Fig 14: Lifecycle Degradation"""
+    
+    set_oprice_style()
+    
+    # Aging parameters
+    lambda_fade = config.get('battery_params', {}).get('lambda_fade', 0.0001)
+    n_cycles = 1000
+    
+    # Cycle numbers
+    cycles = np.arange(0, n_cycles + 1)
+    
+    # SOH degradation (exponential decay with square root of cycles term)
+    # More realistic aging: fast initial drop, then slower
+    SOH = 1.0 - lambda_fade * cycles - 0.00005 * np.sqrt(cycles)
+    SOH = np.clip(SOH, 0.7, 1.0)  # SOH doesn't go below 70%
+    
+    # TTE degradation (proportional to SOH but with additional resistance increase)
+    # As battery ages, internal resistance increases, reducing effective capacity
+    TTE_fresh = 2.5  # hours at SOH=1.0
+    resistance_factor = 1.0 + 0.5 * (1 - SOH)  # Resistance increases as SOH decreases
+    TTE = TTE_fresh * SOH / resistance_factor
+    
+    # Create figure with dual y-axis
+    fig, ax1 = plt.subplots(figsize=(12, 8))
+    
+    # Plot SOH on left axis
+    color1 = '#1f77b4'
+    ax1.set_xlabel('Charge-Discharge Cycles', fontsize=11)
+    ax1.set_ylabel('State of Health (SOH)', fontsize=11, color=color1)
+    line1 = ax1.plot(cycles, SOH * 100, color=color1, linewidth=2.5, 
+                     label='SOH', marker='o', markevery=100, markersize=6)
+    ax1.tick_params(axis='y', labelcolor=color1)
+    ax1.set_ylim(65, 105)
+    ax1.grid(True, alpha=0.3, axis='x')
+    
+    # Mark critical SOH thresholds
+    ax1.axhline(80, color='orange', linestyle='--', linewidth=1.5, alpha=0.6, 
+                label='80% SOH (End of Life)')
+    
+    # Second y-axis for TTE
+    ax2 = ax1.twinx()
+    color2 = '#d62728'
+    ax2.set_ylabel('Time to Empty (hours)', fontsize=11, color=color2)
+    line2 = ax2.plot(cycles, TTE, color=color2, linewidth=2.5, 
+                     label='TTE at Full Charge', marker='s', markevery=100, markersize=6)
+    ax2.tick_params(axis='y', labelcolor=color2)
+    ax2.set_ylim(1.0, 2.8)
+    
+    # Title
+    ax1.set_title('Battery Lifecycle Degradation: SOH and TTE Evolution', 
+                  fontsize=12, fontweight='bold')
+    
+    # Combined legend
+    lines = line1 + line2
+    labels = [l.get_label() for l in lines]
+    ax1.legend(lines, labels, loc='upper right', framealpha=0.9, fontsize=10)
+    
+    # Find cycle at 80% SOH
+    idx_80 = np.where(SOH <= 0.80)[0]
+    if len(idx_80) > 0:
+        cycle_80 = cycles[idx_80[0]]
+        soh_80 = SOH[idx_80[0]]
+        tte_80 = TTE[idx_80[0]]
+        
+        ax1.axvline(cycle_80, color='gray', linestyle=':', linewidth=1.5, alpha=0.5)
+        ax1.annotate(f'End of Life\\nCycle {cycle_80}\\nSOH={soh_80*100:.1f}%\\nTTE={tte_80:.2f}h',
+                    xy=(cycle_80, 80), xytext=(cycle_80 + 150, 85),
+                    arrowprops=dict(arrowstyle='->', color='darkred', lw=1.5),
+                    fontsize=9, color='darkred',
+                    bbox=dict(boxstyle='round', facecolor='mistyrose', alpha=0.8))
+    
+    # Add aging mechanism annotation
+    mechanism_text = 'Aging Mechanisms:\\n' + \
+                    '• Capacity fade\\n' + \
+                    '• Resistance increase\\n' + \
+                    '• Accelerated at extremes\\n' + \
+                    f'  (λ_fade = {lambda_fade:.6f})'
+    
+    ax1.text(0.02, 0.30, mechanism_text, transform=ax1.transAxes,
+            fontsize=9, verticalalignment='top',
+            bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.8))
+    
+    # Add degradation statistics
+    initial_tte = TTE[0]
+    final_tte = TTE[-1]
+    tte_loss = initial_tte - final_tte
+    tte_loss_pct = tte_loss / initial_tte * 100
+    
+    stats_text = f'Performance Metrics:\\n'
+    stats_text += f'Initial TTE: {initial_tte:.2f}h\\n'
+    stats_text += f'After {n_cycles} cycles: {final_tte:.2f}h\\n'
+    stats_text += f'Total loss: {tte_loss:.2f}h ({tte_loss_pct:.1f}%)\\n'
+    stats_text += f'Avg loss per 100 cycles: {tte_loss/(n_cycles/100):.3f}h'
+    
+    ax1.text(0.98, 0.97, stats_text, transform=ax1.transAxes,
+            fontsize=9, verticalalignment='top', horizontalalignment='right',
+            bbox=dict(boxstyle='round', facecolor='lightblue', alpha=0.8),
+            family='monospace')
+    
+    plt.tight_layout()
+    
+    # Save
+    figure_dir = config.get('global', {}).get('figure_dir', 'figures')
+    os.makedirs(figure_dir, exist_ok=True)
+    output_base = os.path.join(figure_dir, 'Fig14_Lifecycle_Degradation')
+    save_figure(fig, output_base, dpi=config.get('global', {}).get('dpi', 300))
+    plt.close()
+    
+    return {
+        "output_files": [f"{output_base}.pdf", f"{output_base}.png"],
+        "computed_metrics": {
+            "initial_tte_h": float(initial_tte),
+            "final_tte_h": float(final_tte),
+            "tte_loss_pct": float(tte_loss_pct),
+            "eol_cycle": int(cycle_80) if len(idx_80) > 0 else n_cycles
+        },
+        "validation_flags": {},
+        "pass": True
+    }