85 lines
3.0 KiB
Python
85 lines
3.0 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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import seaborn as sns
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# 设置美赛O奖风格
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plt.rcParams['font.family'] = 'Times New Roman'
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plt.rcParams['font.size'] = 12
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plt.rcParams['axes.labelsize'] = 12
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plt.rcParams['axes.titlesize'] = 12
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plt.rcParams['xtick.labelsize'] = 12
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plt.rcParams['ytick.labelsize'] = 12
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plt.rcParams['legend.fontsize'] = 12
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plt.rcParams['figure.titlesize'] = 12
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plt.rcParams['text.usetex'] = False # 如果系统未安装LaTeX，设为False
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plt.rcParams['axes.unicode_minus'] = False
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# 使用seaborn美化
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sns.set_style("whitegrid")
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sns.set_context("paper")
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# 1. 准备数据 (模拟曲线)
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# 设定结束时间 T_verify
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t_verify = 13.43
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# 生成 x 轴数据 (0 到 13.43)
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x = np.linspace(0, t_verify, 200)
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# 模拟放电曲线公式: y = 100 - k * x^n
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# 我们设终点为 (13.43, 5) 即剩下 5% 电量时结束
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# 5 = 100 - k * (13.43)^1.8 (1.8 是为了模拟曲线的弧度)
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n = 1.7 # 调节这个指数可以改变曲线的弯曲程度
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k = (100 - 5) / (t_verify ** n)
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y = 100 - k * (x ** n)
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# 2. 创建图表 (美赛标准尺寸，高DPI)
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# 使用 constrained_layout=True 自动处理布局防止文字遮挡
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fig, ax = plt.subplots(figsize=(4, 3), dpi=300, constrained_layout=True)
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# 3. 绘制主曲线 (使用专业配色)
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# label 使用 LaTeX 格式渲染 T_verify
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ax.plot(x, y, color='#2E5090', linewidth=2.5, label=r'$T_{verify}=13.43$ h', zorder=3)
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# 4. 绘制阴影区域
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# 填充曲线和 x 轴(y=0)之间的区域
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ax.fill_between(x, y, 0, color='#2E5090', alpha=0.2, zorder=1)
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# 5. 绘制红色虚线 (阈值线)
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# 在 y=5 处画横线
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ax.axhline(y=5, color='#C41E3A', linestyle='--', linewidth=2, zorder=2, label='Threshold (5%)')
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# 6. 设置标题 (已移除)
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# ax.set_title("Battery Discharge Profile: Browsing Mode (0.84W)",
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# fontsize=12, fontweight='bold', pad=15)
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# 7. 设置坐标轴标签 (美赛要求明确标注单位)
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ax.set_xlabel('Time (hours)', fontsize=12, fontweight='bold')
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ax.set_ylabel('Battery Capacity (%)', fontsize=12, fontweight='bold')
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# 8. 设置坐标轴范围
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ax.set_xlim(0, 14.5)
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ax.set_ylim(0, 105)
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# 9. 设置坐标轴刻度
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ax.set_xticks([0.0, 2.5, 5.0, 7.5, 10.0, 12.5])
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ax.set_yticks([0, 20, 40, 60, 80, 100])
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# 10. 设置网格 (美赛风格：淡雅背景网格)
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ax.grid(True, linestyle=':', alpha=0.3, color='gray', linewidth=0.8, zorder=0)
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ax.set_axisbelow(True)
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# 11. 设置图例 (专业风格)
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ax.legend(loc='upper right', fontsize=12, frameon=True,
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edgecolor='black', fancybox=False, shadow=False, framealpha=0.9)
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# 12. 美化边框
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for spine in ax.spines.values():
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spine.set_linewidth(1.2)
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spine.set_color('black')
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ax.tick_params(labelsize=12, width=1.2, length=6, direction='out')
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# 13. 调整布局并保存/显示
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# 由于使用了constrained_layout，不需要手动调用tight_layout或adjust
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# 保存为高分辨率图片 (美赛推荐格式)
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plt.savefig('battery_discharge_profile.png', dpi=300, bbox_inches='tight', facecolor='white')
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plt.savefig('battery_discharge_profile.pdf', bbox_inches='tight', facecolor='white')
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plt.show() |