以降低寒带地区低温环境下的Plug-in柴电混合动力汽车油耗与热端排放综合水平为目标，在Matlab/simulink平台下建立计算整车等效油耗和排气系统热端DPF/SCR出口排放的车辆系统动力学模型；在此基础上，基于PMP原理中的时间最短控制方法，提出车辆行进过程中优化动力源功率流以实现电池和SCR温升时间最短的冷起动控制策略；提出利用动力电池对DPF进行电加热以实现其主动再生的DPF控制方法；基于DP算法提出NEDC工况下的油耗和排放综合全局优化控制策略，为评价整车性能和接下来开发的实时控制策略提供理论依据，并根据离线计算结果归纳出车辆起步前利用电网对电池进行加热和保温的最优控制方法；基于PMP原理中的燃料最少控制方法，将NEDC工况下的油耗和排放多目标控制问题转化为燃料最少控制问题，提出油耗和排放综合实时最优控制策略；最后基于dSPACE进行硬件在环台架实验，对开发的控制策略进行验证。

The comprehensive optimizaiton of fuel consumption and hot end emission for Plug-in diesel hybrid electric vehicles in extremely cold areas will be taken as a research object. The Plug-in hybrid vehicles' dynamic model which calculates the equivalent fuel consumption and hot end emission from the DPF / SCR outlet is established in Matlab/simulink software. Firstly, the control strategy for increasing the temperature of battery and SCR is proposed in view of the shortest time-based method of PMP. Then DPF electric heating control method is put forward and its impact on vehicle operating mode is analyzed.Secondly, the model-based comprehensive global optimization control strategy for fuel consumption and emission is proposed as theoretical basis for the evaluation of vehicle performance and the subsequent real-time strategy based on the DP algorithm is accepted.According to the offline calculation results, the strategy of heating battery from power grid before the vehicle starting is summarized. Thirdly, Based on the minimum fuel-based method of PMP, multi-objective control for fuel consumption and emission is transformed into fuel minimum control. In this way, the comprehensive real-time control strategy for fuel consumption and emission is presented.Finally, hardware-in-loop experiments will be completed in dSPACE system -based test rig and control strategy will be verified. The project will be of great importance in reducing Plug-in diesel electric hybrid vehicle's fuel consumption and emission during lower temperature and improving driving mileage when motor drives alone.