通过动态规划优化插电式混合动力电动汽车 (PHEV) 能源管理（Matlab、Simulink代码实现）

💥💥💞💞欢迎来到本博客❤️❤️💥💥

🏆博主优势：🌞🌞🌞博客内容尽量做到思维缜密，逻辑清晰，为了方便读者。

⛳️座右铭：行百里者，半于九十。

📋📋📋本文目录如下：🎁🎁🎁

目录

---

💥1 概述

插电式混合动力电动汽车（PHEV）是一种结合了传统燃油动力和电动动力的先进汽车技术。在PHEV的充电过程中，会产生一定的热量，而本文将重点描述这些热损失的情况。

首先，热损失主要出现在PHEV的逆变器和两个电池模块中。这些部件在工作过程中会产生热量，需要及时进行散热以保证其正常运行。为了解决这一问题，PHEV采用了与冷水流并行排列的冷却板来吸收这些热量。通过这种方式，逆变器和电池模块产生的热量能够被有效地散发出去，保持系统的稳定性和安全性。

另外，这些散热板的设计也考虑到了废热的再利用。在散热板吸收了逆变器和电池模块产生的热量后，这些废热会被导入到一个系统中进行再利用。通过混合三个质量流在一起，废热的能量得以最大程度地利用，从而提高了PHEV的能源利用率和环保性能。

总的来说，PHEV在充电过程中的热损失问题得到了有效的解决和利用。通过合理的散热设计和废热再利用系统，PHEV不仅能够保持稳定的运行状态，还能够最大程度地提高能源利用率，为环境保护和可持续发展做出了积极的贡献。

📚2 运行结果

部分代码：

%% General PEV data
%Grid connection
P_l=1500;%Power line connection [W]

%Cooling fluid initial conditions
m_dot=0.5;%[kg/s]
c_p=4200;%[J/kgK] specific heat capacitance H2O
T_i=283.15;%Initial cooling liquid temperature at inverter,
%heat exchanger inlet, and inverter case [K] 
T_ambient=300.15;%Initial ambient temperature;

%% Data inverter/charger

%Assumptions base on Delta-q QuiQ datasheet
m_inverter=4;%[kg]
E_inverter=0.83;%Inverter efficiency 

%Specific heat capacitance inverter
c_Al=897;%Specific heat capacitance aluminum around room temperature [J/kg K]
c_Co=385;%Specific heat capacity copper [J/kg K]
c_Fe=449;%Specific heat capacity iron [J/kg K]
c_Po=50;%Specific heat capacity of typical Polymers in conductor boards
c_inverter=0.5*c_Al+0.3*c_Co+0.1*c_Fe+0.1*c_Po;

%% Conductive heat transfer parameters for thermal path between inverter and heat exchanger

k_Al=237;%Thermal conductivity aluminum case around room temperature [W/m 癈]
m_case=0.1;%Case weight [kg]
c_case=c_Al;
w_case=0.05;%Width case [m]
A_case=0.246*0.278*0.75;%Assumed surface area of the PEV inverter/charger

w_bond=0.025;%Width bond between case plate and heat exchanger
k_bond=296;%Eutectic bond as it is in chip carriers

k_ideal=2*k_Al;%Assumed ideal thermal conductivity [W/m 癈];
A_ideal=2*A_case;%Assumed ideal conductive heat transfer area [m^2];

%% Cooling plate parameters

%The underlying assumption is a custom made turbo tube liquid cold plate
%adapted to the geometry of the inverter. Assumptions base on Aavid
%Thermalloy Turbo Tube Liquid Cold Plate datasheet

k_Co=401;%Thermal conductivity of copper [W/m 癈] used in the heat exchanger pipes
w_pipe=0.0015;%Thickness of copper pipes app. 1.5mm
Dm=0.01;%Outer diameter of tubes
L=0.75*0.278;%Effective tube length one way [m]
n=10;%number of pipes on cooling plate
A_pipes=1/3*pi*Dm*L*n; %Assumed relevant area for conductive heat transfer as app. 
%1/3 of tube surface is facing towards the inverter case

A_plate=A_case-A_pipes; %Case surface less tube diameter*number of tubes*effective 
%tube length adapted from inverter case surface
w_plate=0.05;%Assumed thickness extrusion Aluminum plate [m]

V_pipes=pi*(Dm/2)^2*n*L*0.66;%Effective Volume of pipes inside the Aluminum plate profile
V_plate=A_case*w_plate-V_pipes;%Volume Aluminum plate less spacetaken by tubes [m^3]
rho_Al=2710;%[kg/m^3] Density Aluminum plate
m_plate=rho_Al*V_plate;%Mass Aluminum plate 
A_bs_bond=2/3*A_pipes/(1/3);%Effective conductive heat transfer surface area of the bond on the backside

A_surface=A_case;%Convective heat transfer area for outside-facing cooling plates under realistic conditions
h_surface=25;%Empirical value for free convection of gases. Source: Cengel, Basics of heat transfer, 2002, S. 26

%% Heat exchange process parameters

U=1000;     %[W/m^2 K] Overall heat transfer coefficient steam condenser 
            %(Cengel, 2002, S. 673) 
A_HE=Dm*pi*(L/0.75)*n;%[m^2] Relevant area for convective heat transfer along the whole pipe length
UA=U*A_HE;
NTU=UA/(m_dot*c_p);%Number of transferred units
E=1-exp(-NTU);%Initial heat exchanger efficiency
rho_Co=8920;%Density Copper [kg/m^3]
m_HE=A_HE*w_pipe*rho_Co;
high_efficiency=0.7;%High efficiency option for scenario analysis

%% Energy storage system parameters

E_ess=0.9;%Energy storage system charging efficiency
m_ess=40;%Mass of a single energy storage system [kg]
c_ess=3482;%Specific heat capacitance Lithium [J/kg K]
C_ess=4900;%Energy storage system capacity [Wh] (See Hymotion, L5 Plug-in 
%Conversion module for specifications)
PHEV=2;
EV=11;
n_ess=PHEV;%The EV is equipped with 9 conversion modules. Whereas an efficient PHEV
%has 2 conversion modules. n_ess adapts the neccessary charging time

%% Charging patterns
DOD=0.8;%Depth of discharge 
NC_ess=DOD*C_ess*n_ess/(E_ess*E_inverter);%Relevant Net capacity energy storage system for charging
D=NC_ess*3600/P_l;%Charging duration [s]

%% Split up heat flow: 
m_dot=m_dot/n_ess

🎉3 参考文献

文章中一些内容引自网络，会注明出处或引用为参考文献，难免有未尽之处，如有不妥，请随时联系删除。

[1]刘宝帅.插电式混合动力汽车动力总成控制策略优化研究[D].昆明理工大学[2024-01-29].DOI:CNKI:CDMD:2.1018.715444.

[2]任培林.基于动态规划的PHEV规则控制策略优化设计研究[D].重庆交通大学[2024-01-29].DOI:CNKI:CDMD:2.1018.149776.

🌈4 Matlab代码、Simulink仿真实现