传统燃油车带来的能源消耗与大气污染问题得到越来越多的关注，各类新能源汽车逐渐由概念变为产品，其中插电式P2混合动力汽车因发挥内燃机、电动机各自性能优势，提升了整车运行效率，节能减排效果显著。本文主要通过建模仿真的方法，对混合动力汽车双动力源的转矩协调控制进行研究。本论文研究得到“混合动力乘用车钢绳环式无级变速器研制”西安市科技计划项目的支持。

从插电式P2混合动力汽车的结构特点出发，结合各个部件的工作特性和参数，对插电式P2混合动力汽车建模（包括整车动力学模型、发动机模型、电动机模型、动力电池模型、离合器模型及无级变速器模型等）。通过分析混合动力汽车运行模式及切换条件，设定一系列逻辑门限值参数：发动机最优转矩、SOC值上下限等，建立了基于逻辑门限值的转矩协调控制策略，并采用MATLAB/Simulink平台搭建基于逻辑门限值的转矩协调控制策略模型，在AVL CRUISE中建立了仿真模型，通过CRUISE中MATLAB/DLL接口以联合仿真的方式验证控制策略的有效性。在逻辑门限值的转矩协调控制策略的基础上，对运行模式进行适当精简，引入模糊控制优化行车充电与混合驱动模式下的转矩分配，采用联合仿真对改进后的转矩协调控制策略进行验证，并与基于逻辑门限值的转矩协调控制策略的仿真结果进行了对比分析。针对混合动力汽车在模式切换过程中动力源切换的转矩协调问题，设计了模式切换转矩协调控制策略加以改善，以期提高整车平顺性，借助仿真验证了模式切换转矩协调控制策略的有效性。

结果表明：基于模糊控制的转矩协调控制策略相较于基于逻辑门限值的转矩协调控制策略，百公里油耗降低约5%；而模式切换转矩协调控制策略也有效降低了模式切换过程的冲击度，提升了模式切换过程的整车平顺性。本论文的研究，有助于解决混合动力汽车双动力源转矩协调控制问题，为进一步提升混合动力汽车节能效果和平顺性奠定了一定理论基础。

The problems of energy consumption and air pollution caused by traditional fuel vehicles are attracting more and more attention, and all kinds of new energy vehicles are gradually changing from concepts to products, among which, the Plug-in P2 Hybrid Electric Vehicle enhance the whole vehicle operating efficiency and save energy and reduce emissions significantly by exerting the respective performance advantages of internal combustion engine and electric motor. This paper mainly studies the torque coordination control of dual power sources of HEV through modeling and simulation. The research of this thesis is supported by the Xi'an Science and Technology Projects of "Development of No-joint Wire Rope CVT for Hybrid Electric Vehicle".

Starting from the structural characteristics of the plug-in P2 hybrid vehicle, combined with the operating characteristics and parameters of each component, the model of Plug-in P2 HEV (including vehicle dynamics model, engine model, motor model, power battery model, clutch model and CVT model) is modeled. By analyzing the operation modes and switching conditions of HEV, set a series of logical threshold parameters: engine optimal torque, SOC upper and lower limits, etc., to establish the torque coordination control strategy based on the logical threshold, and the MATLAB/Simulink platform is used to build a model of the torque coordination control strategy based on logical threshold. The simulation model is established in AVL CRUISE, and the effectiveness of the control strategy is verified by the joint simulation of MATLAB/DLL interface in CRUISE. On the basis of the strategy of torque coordination control based on logic threshold, the operation mode is simplified properly, fuzzy control is introduced to optimize the torque distribution in the driving charging and hybrid drive modes, and the joint simulation is used to verify the improved strategy of torque coordination control, and the simulation results based on logic threshold are compared and analyzed. To address the torque coordination problem of power source switching in the mode switching process of HEV, the torque coordination control strategy of mode switching is designed to improve the ride comfort of the whole vehicle. With the help of simulation, the effectiveness of the mode switching torque coordination control strategy is verified.

The results show that the fuzzy control-based torque coordination control strategy reduces fuel consumption per 100km by about 5% compared with the logic threshold torque coordination control strategy, and the mode switching torque coordination control strategy also effectively reduces the jerk of the mode switching process. The research in this thesis helps to solve the problem of coordinated torque control of dual power sources of HEV and lays a certain theoretical foundation for further improving the energy-saving effect and the vehicle ride comfort of HEV.