用于ODE系统的scipy odeint的错误

我想重现下面显示的两个图，它们是作为时间函数的温度和浓度分布图。我检查了我的方法和代码一百万次，但似乎无法找到它的错误，但我无法再现这些图。除了CA和T之外，所有的值都是常量。它可能是来自scipy的odeint的准确性问题吗？任何帮助将非常感激！用于ODE系统的scipy odeint的错误

这两个方程如下：

DCA/DT = Q *（CAI - CA）/ V - K * CA

的dT/dt的= W *（钛 - T）/（V p）+ d_HRķCA /（p C）+ UA *（TC - T）/（V p C）

的代码：

import numpy as np 
from scipy.integrate import odeint 
import matplotlib.pyplot as plt 

def ODESolve(y, t, q, CAi, V, k0, w, Ti, p, dH_R, C, UA, Tc): 

    CA, T = y 
    k = k0*np.exp(8750*1/T) 
    dydt = [q*(CAi - CA)/V - k*CA, w*(Ti - T)/(V*p) + \ 
      dH_R*k*CA/(p*C) + UA*(Tc - T)/(V*p*C)] 

    return dydt 

q = 100 
CAi = 1.0 
V = 100 
p = 1000 
C = .239 
dH_R = 5*(10**4) 
k0 = 7.2*(10**10) 
UA = 5*10**4 
CA0 = .5 
T0 = 350 
Ti = T0 
w = p*q 

y0 = [CA0, T0] 
t = np.linspace(0, 20, 100) 

Tc = 305 
sol1 = odeint(ODESolve, y0, t, args = (q, CAi, V, k0, w, Ti, p, dH_R, C, UA, Tc)) 

Tc = 300 
sol2 = odeint(ODESolve, y0, t, args = (q, CAi, V, k0, w, Ti, p, dH_R, C, UA, Tc)) 

Tc = 290 
sol3 = odeint(ODESolve, y0, t, args = (q, CAi, V, k0, w, Ti, p, dH_R, C, UA, Tc)) 

plt.figure(1) 
plt.plot(t, sol1[:,0], label = 'Tc = 305') 
plt.plot(t, sol2[:,0], label = 'Tc = 300') 
plt.plot(t, sol3[:,0], label = 'Tc = 290') 
plt.ylim(ymax = 1, ymin = 0) 
plt.title ('CA(t)') 
plt.legend(loc = 'best') 

plt.figure(2) 
plt.plot(t, sol1[:,1], label = 'Tc = 305') 
plt.plot(t, sol2[:,1], label = 'Tc = 300') 
plt.plot(t, sol3[:,1], label = 'Tc = 290') 
plt.ylim(ymax = 450, ymin = 300) 
plt.legend(loc = 'best') 
plt.title ('T(t)') 

plt.show()

这里是图应该生产什么：