混联式混合动力汽车控制策略开发与仿真研究

阐述了切换式混联混合动力汽车系统特点和控制模式。对该种混合动力汽车起步工况、正常行驶工况、减速工况和故障工况等工作模式进行了分析。利用PSAT软件建立了仿真模型,对整车性能仿真分析。通过与串联式ZK6108HGD混合动力客车进行对比,验证了仿真模型的准确性。     

混合动力SUV车低压电器负荷分析及优化

对混合动力技术的汽车在行驶中的几种典型工况进行了分析;根据汽车典型行驶工况及低压电器设备使用频度系数,对电气系统常用低压电器设备的电量进行建模仿真比较,并以此选择适合整车的供电电源;根据不同车速与车用蓄电池的关系,选择满足混合动力低压电器设备的发电机、蓄电池。通过仿真分析,提高了混合动力电动汽车电气系统的安全性、可靠性和设计合理性。     

并联式混合动力汽车能量控制系统仿真研究

基于模糊控制和电力辅助控制两种混合动力汽车能量控制方法,以某并联式混合动力汽车为对象,建立了正常行驶工况下的能量控制策略,并在MATLAB/Simulink仿真平台下进行了仿真分析,为实际系统的开发提供测试平台.     

基于模糊PID控制理论的驾驶员模型的建立

以新能源汽车中的混合动力汽车为研究对象,利用Matlab/Simulink软件建立基于模糊PID控制理论的驾驶员仿真模型,根据行驶工况需求模拟驾驶员的操作过程;将驾驶员仿真模型嵌入整车模型中组成完整的前向仿真整车模型,使仿真接近车辆的真实行驶过程,仿真结果与车辆真实的行驶过程吻合较好。     

一种混合动力汽车动力系统匹配计算

文章以一种混合动力汽车为研究对象,进行动力传动方案设计,对电动机、内燃机进行参数计算,对动力性和能量回收进行分析研究,并进行城市-郊区工况的仿真分析。仿真结果表明,文章设计的混合动力汽车,满足行驶动力性的要求下,大幅减小内燃机后备功率,燃油经济性明显提高,同时进行制动与内燃机后备功率的能量回收,能量利用率优异,为混合动力汽车此方面的研究提供一种研究思路。     

计及行驶工况影响的混合动力汽车控制策略

为减小行驶工况波动对汽车性能的影响,引入行驶工况比例系数。应用遗传优化算法,以汽车燃油经济性和排放性为优化目标,在不同比例系数的行驶工况下对控制策略参数进行优化,分析并总结了行驶工况比例系数与控制策略参数之间的关系。通过采用模糊神经网络对行驶工况的比例系数进行识别,建立了一个计及行驶工况影响的混合动力汽车智能控制策略。实车验证结果表明,所建立的控制策略减小了行驶工况波动对电动汽车性能的影响,使其在不同的行驶工况下都具有较好的燃油经济性和排放性。     

ADVISOR混合动力电动汽车仿真软件的二次开发与分析

在研究与掌握ADVISOR车辆仿真系统结构的基础上,介绍了该系统的二次开发过程,建立了ADVISOR所不具备的后轮驱动和四轮驱动仿真模型。针对特定的循环行驶工况,利用该模型进行不同驱动方式下的并联混合动力汽车的燃油经济型和动力性的仿真分析与比较。     

基于上海市区道路行驶工况的混合动力汽车性能仿真研究

文章基于上海市区道路行驶循环进行了混合动力汽车的燃油经济性能仿真研究。具体内容包括动力部件的选型、控制策略的制定以及对混合动力汽车性能仿真结果的研究分析。在理论上阐述了改善混合动力汽车燃油经济性的方法以及混合动力汽车相对于传统燃油汽车的显著优势,为控制策略的具体制定奠定了基础。     

插电式串联混合动力汽车发动机起停控制策略的优化

利用AVL-CRUISE软件对某插电式串联混合动力汽车进行整车建模与仿真,并在不同的行驶循环工况和车辆行驶里程下优化发动机的起停控制策略。结果表明:根据不同的行驶循环工况和行驶里程来修正发动机起停时刻的SOC值,可以有效缩短发动机的运行时间,从而降低油耗和能量损失。该方法也可为增程型电动汽车发动机的起动控制提供参考。     

混合动力汽车驱动系统仿真

混合动力汽车由于具有良好的燃油经济性和排放性以及续驶里程长等优点越来越受到人们的欢迎,是当今汽车工业的发展趋势。文章介绍了混合动力车的前向仿真方法和后向仿真方法,分析了仿真软件ADVISOR的混合仿真方法和工作原理。通过衣田Insight混合动力车的仿真实例,建立了发动机、电动机、蓄电池及发电机等各部件模型、汽车动力学模型及整车的仿真模型,并基于标准道路行驶循环工况分析了整车的动力性、燃油经济性以及排放性能,表明所建立的模型合理准确,能够进行系统的优化设计     

基于Matlab／Simulink的混合动力客车前向式仿真平台的建立

建立某型号并联式混合动力客车的前向式仿真平台,基于Madab／Simulink环境在标准道路行驶循环下对其进行仿真,以分析整车动力性与经济性。结果表明,该车性能满足设计要求。     

Fuzzy energy management strategy for a hybrid electric vehicle based on driving cycle recognition

By considering the effect of the driving cycle on the energy management strategy (EMS), a fuzzy EMS based on driving cycle recognition is proposed to improve the fuel economy of a parallel hybrid electric vehicle. The EMS is composed of driving cycle recognition and a fuzzy torque distribution controller. The current driving cycle is recognized by learning vector quantization in driving cycle recognition. The torque of the engine and the motor is controlled by a fuzzy torque distribution controller based on the required torque of the hybrid powertrain and the battery state of charge. The membership functions and rules of the fuzzy torque distribution controller are optimized simultaneously by using particle swarm optimization. Based on the identification results of driving cycle recognition, the fuzzy torque distribution controller selects the corresponding membership function and rule to control the hybrid powertrain. The simulation research based on ADVISOR demonstrates that this EMS improves fuel economy more effectively than fuzzy EMS without driving cycle recognition.     

HEV实时等效能量消耗最小控制策略

以变速器前置式并联结构为例,介绍了一种实时等效能量消耗最小控制策略。在研究车辆行驶于循环工况中消耗燃油热能和电能之间关系的基础上,针对该策略的关键问题———蓄电池组的电能和发动机的燃油热能消耗量的等效方法进行了详细阐述。最后在车辆仿真模型的基础上对该种策略进行仿真试验,并与其他类型的控制策略进行了比较。     

混合动力汽车传动系统能量流分析

分析混合动力汽车传动系统的能量流,对传动系统类型的选择、设计和控制策略的确定具有重要的意义。文章结合行驶工况和自身状态这2种因素,对3种传动系统的能量流进行了理论分析,为混合动力汽车传动系统类型的选择、设计以及控制策略的研究提供了方法和依据。     

电容式混合动力轿车整车控制策略研究

设计开发了双离合器、单轴并联ISG电机结构的电容式混合动力轿车。深入研究该混合动力系统控制策略,对车辆运行工况进行了严格划分,优化了各工况下发动机、电机的扭矩分配。通过大量台架标定实验对各工况入口参数及控制参数进行了优化匹配,并在Matlab/Simulink仿真平台和转毂试验台架上对该控制策略进行了验证。     

Effect of regenerative braking energy on battery current balance in a parallel hybrid gasoline-electric vehicle under FTP-75 driving mode

In recent years, a hybrid electric vehicle (HEV) has been considered a successful technology. Especially, in case of a full HEV, the motor can drive the vehicle by itself at low velocity or assist the engine at high load. To improve the hybrid electric vehicle’s efficiency, a regenerative braking system is also applied to recover from kinetic energy. In this study, an experimental control apparatus was set up with a parallel hybrid electric vehicle mounted on a chassis dynamometer to measure ECU (engine control unit) and MCU (motor control unit) signals, including the current and state of charge in the battery. In order to analyze regenerative braking characteristics, user define braking driving cycle was introduced and carried out using different initial velocities and braking times. The FTP 75 driving cycle was then adapted under different initial SOC (state of charge) levels. The experiment data was analyzed in accordance with the vehicle velocity, battery current, instant SOC level, motor RPM, engine RPM, and then vehicle driving mode was decided. In case of braking driving cycle, it was observed that SOC were increased up to 1.5 % when the braking time and the velocidy were 6 second and 60 km/h, respectively. In addition, using the FTP 75 driving cycle, mode 1 was most frequently operated at SOC 65 conditions in phase 1. In phase 2, due to frequent stop-go hills, percentage of mode 1 was increase by 22 %. Eventually, despite of identity, it was shown that the characteristics of phase 3 differed from phase 1 due to the evanishment of the effects of initial SOCs.     

基于小波变换-模糊控制的复合电源能量管理

以锂电池-超级电容构成的复合电源电动汽车为研究对象,在满足动力性能的前提下,为实现超级电容在合理的荷电状态（SOC）下承担高频率信号,且锂电池承担低频率信号的目标,建立了实时小波变换-模糊控制的能量管理控制策略。基于Matlab/Simulink和ADVISOR软件搭建整车模型,并在NEDC循环工况下进行仿真测试。仿真结果表明,与单一锂电池相比,在小波变换-模糊控制策略下,复合电源锂电池的驱动峰值电流降低了20.68%,寿命提高了16.74%。搭建了按一定比例缩小的复合电源系统试验平台,并在NEDC工况下进行试验验证。结果表明,小波变换-模糊控制策略对复合电源电动汽车的能量管理具有良好的控制效果。     

老化循环对三效催化器的老化效果研究

为研究不同整车驾驶循环对车辆三效催化器热老化的效果差异,选取两辆配备同款发动机的满足国六排放标准的纯汽油车和油电混合动力车,分别进行AMA、SRC、WLTC和典型RDE循环,利用数据采集系统实时采集车辆运行参数和三效催化器床体温度。基于阿伦尼乌斯公式将不同循环16万km耐久性后的热老化程度量化为热损伤,并以RDE循环为参照基准,将不同测试循环行驶16万km换算成对应的实际道路等效行驶里程。研究结果表明:相同循环下,油电混合动力车三效催化器的16万km热老化程度低于纯汽油车;AMA和SRC循环对三效催化器造成的热老化程度明显高于相同行驶里程下的WLTC循环和RDE循环。纯汽油车以AMA循环或SRC循环进行16万km耐久老化,对三效催化器所造成的老化效果相当于在实际道路上行驶了51.84和60.30万km;油电混合动力车以AMA循环和SRC循环进行16万km耐久老化,对三效催化器造成的老化效果相当于在实际道路上行驶30.44和29.21万km。     

Development of equivalent fuel consumption minimization strategy for hybrid electric vehicles

Power distribution between an internal combustion engine and electric motors is one of main features of hybrid electric vehicles that improves their fuel economy. An equivalent fuel consumption minimization strategy can instantaneously identify the optimal power distribution by converting the battery power into the equivalent fuel power and minimizing the overall fuel consumption. To guarantee the effectiveness of the strategy, it is essential to find the proper value of the conversion factor used to obtain the equivalent fuel power. However, finding the proper value is not a straightforward process because it is necessary to consider the overall power conversion efficiencies and battery charge sustaining strategy for the target driving cycle in advance. In this study, a model-based parameter optimization method is introduced to find the optimal conversion factor. A hybrid electric vehicle simulation model capable of estimating fuel consumption was developed, and the optimal conversion factor was discovered using a genetic algorithm that evaluates its population members using the simulation model. A series of simulations and vehicle tests was conducted to verify the effectiveness of the optimized strategy, and the results show a distinct improvement in fuel economy.     

混合动力电动汽车能量自适应模糊控制研究

为了实现混合动力电动汽车两种能量的最佳分配,确保电机、蓄电池的合理运行,建立了前向并联式混合动力电动汽车动力系统模型,提出了采用自适应模糊控制方法对动力系统进行能量分配,设计了控制器,讨论了自组织控制器的规则自我调整过程。整车循环工况仿真试验表明该控制具有较强的鲁棒性,可使电机、发动机、蓄电池等动力设备工作于最佳工况。