Torex XCL247 / XCL248 系列内置电感降压型 DC/DC 转换器

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec

# 时间轴
t = np.linspace(0, 10e-6, 1000)  # 0 ~ 10µs

# PWM 模式：固定频率（1.2MHz）方波，调节占空比
pwm_freq = 1.2e6
pwm_period = 1 / pwm_freq
pwm_duty = 0.5  # 50%
pwm_wave = ((t % pwm_period) < (pwm_duty * pwm_period)).astype(float)

# PFM 模式：低频（例如 200kHz）脉冲，每隔一段时间补充能量
pfm_wave = np.zeros_like(t)
pfm_pulse_width = 0.5e-6  # 每次脉冲宽度
pfm_gap = 3e-6  # 脉冲之间间隔
for i in range(len(t)):
    if ((t[i] % (pfm_pulse_width + pfm_gap)) < pfm_pulse_width):
        pfm_wave[i] = 1

# 模拟效率曲线（虚拟数据）
iout = np.logspace(0, 3, 200)  # 1mA~1000mA
eff_pwm = 80 + 10 * (1 - np.exp(-iout / 50))
eff_pfm = 90 - 20 * np.exp(-iout / 50)

# 模拟输出纹波（虚拟数据）
ripple_pwm = 10 + 5 * np.exp(-iout / 200)  # mV
ripple_pfm = 25 + 10 * np.exp(-iout / 300)  # mV

# 绘图
fig = plt.figure(figsize=(14, 10))
gs = gridspec.GridSpec(3, 2)

# PWM 波形
ax0 = fig.add_subplot(gs[0, 0])
ax0.plot(t * 1e6, pwm_wave, label='PWM', color='blue')
ax0.set_title("PWM Mode Switching Waveform")
ax0.set_xlabel("Time (µs)")
ax0.set_ylabel("Switch State")
ax0.grid(True)

# PFM 波形
ax1 = fig.add_subplot(gs[0, 1])
ax1.plot(t * 1e6, pfm_wave, label='PFM', color='green')
ax1.set_title("PFM Mode Switching Waveform")
ax1.set_xlabel("Time (µs)")
ax1.set_ylabel("Switch State")
ax1.grid(True)

# 效率对比
ax2 = fig.add_subplot(gs[1, 0])
ax2.plot(iout, eff_pwm, label='PWM', color='blue')
ax2.plot(iout, eff_pfm, label='PFM', color='green')
ax2.set_title("Efficiency vs Output Current")
ax2.set_xscale('log')
ax2.set_xlabel("Output Current (mA)")
ax2.set_ylabel("Efficiency (%)")
ax2.grid(True)
ax2.legend()

# 纹波电压对比
ax3 = fig.add_subplot(gs[1, 1])
ax3.plot(iout, ripple_pwm, label='PWM', color='blue')
ax3.plot(iout, ripple_pfm, label='PFM', color='green')
ax3.set_title("Output Ripple vs Output Current")
ax3.set_xscale('log')
ax3.set_xlabel("Output Current (mA)")
ax3.set_ylabel("Ripple Voltage (mV)")
ax3.grid(True)
ax3.legend()

# 隐藏第3行空格
fig.tight_layout()
plt.show()