并联式混合动力汽车遗传模糊控制策略的研究

为带双离合器和单轴转矩耦合的某并联混合动力汽车开发了模糊控制策略,采用遗传算法对转矩分配模糊控制器进行了优化。在Matlab/Simulink和ADVISOR环境下基于试验数据建立了仿真模型,并进行了NEDC循环下只考虑经济性的控制策略优化和综合考虑经济性和排放性能的多目标控制策略优化。结果表明,应用遗传算法对模糊控制策略进行多目标优化后,油耗降低了3.65%,同时整车排放也有明显降低。     

燃料电池混合动力汽车动力系统匹配与优化研究

首先,基于中国客车典型循环工况对燃料电池混合动力系统进行匹配计算,确定了电动机、燃料电池发动机和蓄电池的基本参数;然后基于中国客车典型循环工况,建立燃料电池混合动力系统的优化模型,采用序列二次规划算法进行优化,分析了各种参数对整车燃料经济性的影响,包括燃料电池发动机与动力蓄电池之间的功率分配比、SOC的初始值与目标值、变速器传动比及传动比间隔以及主减速比等,为燃料电池混合动力汽车的构型提供指导。     

电-气串联混合动力客车动力系统方案设计

基于对电-气串联混合动力客车运行目标驾驶循环的分析,对动力系统进行了方案设计。对混合动力系统的构型进行了设计,并基于城市公交驾驶循环对动力系统的主要零部件(发动机、发电机、电动机、蓄电池)进行选型计算。建立了整车仿真模型,对整车零部件的选型结果进行了仿真验证。仿真结果表明,所设计的动力系统方案可以满足整车动力性和经济性要求。     

基于烟花算法的PHEV能量管理策略参数优化

为改善插电式混合动力汽车(PHEV)的燃油经济性,提出一种基于规则的能量管理策略。结合智能网联汽车技术,利用烟花算法(FWA)结合系统约束条件,对能量管理策略参数进行优化,以求使车辆在变化的路况下能耗最低。为减轻沉重运算负荷,设计了一种事件触发机制来控制优化操作的启停。当车辆油耗超过预设上限则开始优化,一旦油耗满足预设下限则优化结束。在中国典型城市工况下,验证了该策略的有效性及优化性能。结果显示:较优化前的能量管理策略,该方案可使PHEV燃料消耗降低10%。从而,使燃油经济性明显提升。     

混合动力系统发动机工况点优化的标定实现

混合动力系统较传统动力总成系统增加了电机、电池,使发动机工况点可以在发动机、电机、动力电池限制范围内进行优化,以提高燃油经济性。以优化整车燃油经济性为目的,得到所有可运行工况点发电、助力工作模式下的等效燃油消耗率。等效燃油消耗率为非线性离散数据,为保证标定数据有效、整车系统的稳定性,给出基于等效燃油消耗率的发动机工况点标定数据修正原则,最终得到混合动力系统扭矩分配的标定数据。通过合理标定扭矩分配,达到优化发动机工况点落点以提高整车经济性的目的。     

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。     

Torque control of engine clutch to improve the driving quality of hybrid electric vehicles

As a powertrain for hybrid electric vehicles (HEVs), the automatic transmission (AT) is not only convenient for the driver but also reduces hybridization costs because the existing production line is used to produce the AT. However, it has low fuel economy due to the torque converter. To overcome this disadvantage, this paper studies HEVs equipped an AT without a torque converter. In this case, additional torque control is needed to prevent the driving quality from deteriorating. This paper suggests three different torque control methods and develops a simulator for an HEV that can simulate the dynamic behaviors of the HEV when the engine clutch is engaged. The HEV drive train is modeled with AMESim, and a controller model is developed with MATLAB/Simulink. A co-simulation environment is established. By using the developed HEV simulator, simulations are conducted to analyze the dynamic behaviors of the HEV according to the control methods.     

Simulation of a powertrain system for the diesel hybrid electric bus

The plug-in hybrid electric bus (HEB) is designed to overcome the vulnerable driving range and performance limitations of a purely electric vehicle (EV) and have an improved fuel economy and lower exhaust emissions than those of a conventional bus and convention HEBs. The control strategy of the plug-in parallel HEB??s complicated connected propulsion system is one of the most significant factors for achieving a higher fuel economy and lower exhaust emissions than those of the HEV. The proposed powertrain control strategy has flexibility in adapting to the battery??s state of charge (SOC), exhaust emissions, classified driving patterns, driving conditions, and engine temperature. Simulation is required to model hybrid powertrain systems and test and develop powertrain control strategies for the plug-in parallel HEB. This paper describes the simulation analysis tools, powertrain components?? models and modifications, simulation procedure, and simulation results.     

基于模糊逻辑控制策略的混合动力汽车仿真研究

以燃油经济性和排放性能为主要控制目标,提出一种基于模糊逻辑的能量分配控制策略,应用ADVISOR仿真软件,对制定的控制策略在不同的道路循环工况下进行仿真。仿真结果表明,所设计的模糊逻辑控制策略能够合理分配发动机和电机的转矩,可使发动机工作在效率较高、排放较低的中等负荷区,整车的燃油经济性较好、排放较低。     

并联混合动力汽车扭矩管理的模糊控制与仿真

并联混合动力汽车中内燃机和电机之间存在动力的耦合和分离过程,能量管理策略比较复杂。为了进一步合理分配内燃机和电机的动力输出,增强其能量管理策略的鲁棒性,文中分析了电辅助控制策略的不足,提出了基于模糊逻辑控制的包含驾驶员扭矩识别和蓄电池功率平衡的并联混合动力汽车扭矩分配策略,并利用ADVI SOR2002的仿真环境,完成了该模糊逻辑扭矩控制模块的仿真。结果表明,模糊逻辑控制策略满足控制目标,对提高汽车的动力性和燃油经济性、改善排放、保证蓄电池的充放电功率平衡有明显的作用。     

燃料电池汽车混合动力系统参数匹配与优化

首先分析燃料电池的特性得出了动力总成结构配置的优化解决方案,并且根据设计性能要求进行动力总成主要部件基本参数设计;最后基于典型的客车循环工况,建立燃料电池混合动力系统的优化模型,采用序列二次规划算法对混合动力系统的两种能量管理策略进行优化仿真,其结果符合设计要求。     

混合动力电动汽车模糊逻辑控制策略的研究与仿真

以四川汽车工业集团野马混合动力电动汽车设计要求为基础,提出了一种混合动力电动汽车模糊逻辑控制策略。这种策略通过对油耗和各排放参数动态地分配权重值确定出发动机的最佳转矩,然后再根据模糊控制原理,以电池SOC值、汽车驱动需求的输出转矩和电动机转速为模糊输入确定出发动机的实际输出转矩,最终实现整车油耗和排放的综合优化。通过在S imu link软件中搭建该控制策略的仿真模型并与基础的电力辅助控制策略相比较,证明了这种控制策略有利于整车运行经济性和环保性的提高。     

液压混合动力公交车动力性能仿真与试验研究

将EQ6110公交车改造为并联式液压混合动力公交车,基础车的动力系统不作改变,建立了液压混合动力公交车模型,对液压系统独立工作时的驱动和制动性能进行了仿真及实车试验,为系统的参数匹配提供依据.采用简化公交循环工况的实车试验表明,动力性能满足起步和制动要求,燃油经济性改善达25%以上;另外,仿真结果也表明,动力性能可以满足国家典型公交行驶循环下的起步和制动性要求,制动再生效率达70%,燃油经济性改善达30%.     

Economic value and utility of a powertrain system for a plug-in parallel diesel hybrid electric bus

This research is the first to develop a design for a powertain system of a plug-in parallel diesel hybrid electric bus equipped with a continuously variable transmission (CVT) and presents a new design paradigm of the plug-in hybrid electric bus (HEB). The criteria and method for selecting and sizing powertrain components equipped in the plug-in HEB are presented. The plug-in HEB is designed to overcome the vulnerable limitations of driving range and performance of a purely electric vehicle (EV) and to improve fuel economy and exhaust emissions of conventional bus and conventional HEBs. The control strategy of the complicated connected propulsion system in the plug-in parallel HEB is one of the most significant factors in achieving higher fuel economy and lower exhaust emissions of the HEV. In this research, a new optimal control strategy concept is proposed against existing rule-based control strategies. The optimal powertrain control strategy is obtained through two steps of optimizations: tradeoff optimization for emission control and energy flow optimization based on the instantaneous optimization technique. The proposed powertrain control strategy has the flexibility to adapt to battery SOC, exhaust emission amount, classified driving pattern, driving condition, and engine temperature. The objective of the optimal control strategy is to optimize the fuel consumption, electricity use, and exhaust emissions proper to the performance targets. The proposed control strategy was simulated to prove its validity by using analysis simulation tool ADVISOR (advanced vehicle simulator).     

基于瞬时优化的HEV控制策略

以一种充电保持型并联式混合动力电动汽车（hybrid electrical vehicle，HEV）为具体对象，研究以瞬时等效燃油经济性和排放性能为综合优化目标的控制策略。该策略以传动系统的能量转换效率和排放“效率”作为评价燃油经济性和排放的指标来建立优化目标方程，通过基于HEV整车及动力总成相关数学模型所建立的Matlab／Simulink仿真优化平台，搜寻出全部转速一转矩需求条件下动力总成各元件的理想能量分配及相应档位，并以MAP图的形式存储于车载监控器中。监控器根据HEV荷电保持的设计要求，按瞬时工况调用这些MAP图，以简单查表计算方式对理想值实时地作适当修正和调整。所述监控策略的有效性、实时性通过若干典型行驶工况仿真及实车应用得以证实，展现出良好的实用价值。     

ISG柴油混合动力客车能量分配策略研究

以ISG柴油混合动力客车整车控制策略为基础,综合考虑客车燃油经济性和排放,提出一种基于模糊神经网络的能量分配策略,该策略根据模糊控制原理,结合人工神经网络自主学习功能,以电池SOC、整车需求转矩以及发动机转速为模糊输入来确定发动机和电机的最佳输出转矩分配,再以神经网络对控制的模糊规则进行记忆.仿真结果表明,该策略比普通逻辑控制更加有利于燃油经济性的提高,并在一定程度上改善了排放性能.     

Improvement of drivability and fuel economy with a hybrid antiskid braking system in hybrid electric vehicles

When braking on wet roads, Antilock Braking System (ABS) control can be triggered because the available brake torque is not sufficient. When the ABS system is active, for a hybrid electric vehicle, the regenerative brake is switched off to safeguard the normal ABS function. When the ABS control is terminated, it would be favorable to reactivate the regenerative brake. However, recurring cycles from ABS to motor regenerative braking could occur. This condition is felt to be unpleasant by the driver and has adverse effects on driving stability. In this paper, a novel hybrid antiskid braking system using fuzzy logic is proposed for a hybrid electric vehicle that has a regenerative braking system operatively connected to an electric traction motor and a separate hydraulic braking system. This control strategy and the method for coordination between regenerative and hydraulic braking are developed. The motor regenerative braking controller is designed. Control of regenerative and hydraulic braking force distribution is investigated. The simulation and experimental results show that vehicle braking performance and fuel economy can be improved and the proposed control strategy and method are effective and robust.     

基于增益功率燃油系数的HEV能量管理策略

为了优化等效燃油最小能量管理策略的节油效果，以适用于工程批量应用为导向，制定基于增益功率燃油系数的混合动力汽车(HEV)能量管理策略。基于瞬时优化原理，提出基于增益功率燃油系数的工作模式决策机制，根据电机发电或电动引起的发动机功率与燃油消耗率的变化关系，分别给出电机充电和放电模式下增益功率燃油系数的计算方法。考虑发动机扭矩瞬态快速变化对油耗的影响和电机及电池包充放电效率特性，提出发动机高效区域扭矩滞回控制方法，建立基于增益功率燃油系数的能量管理策略算法架构。基于MATLAB/Simulink搭建控制策略软件模型，通过转鼓试验台进行实车试验验证。研究结果表明：相对于等效燃油最小能量管理策略，基于增益功率燃油系数的能量管理策略提升了节油率和舒适性，在全球轻型汽车测试循环(WLTC)工况下的百公里油耗降低了约4.8%，发动机的启停次数降低了约53%；相对于有效燃油消耗率(BSFC)最优工作点控制方法，发动机高效区域滞回控制方法降低百公里油耗约1.8%；与采用基于动态规划的全局优化能量管理策略的仿真结果对比，在不能提前预知工况的条件下，制定的能量管理策略在WLTC工况与新标欧洲测试循环(NEDC)工况下的油耗与理论最优值差距均较小。     

混合动力汽车转矩分配策略优化研究

以搭载改型后的Atkinson循环发动机并带有双离合器的单轴并联式混合动力三厢轿车为研究对象,采用逻辑门限值控制方法对发动机和电机的转矩进行合理分配,使混合动力系统在各种行驶工况模式下能够实时切换到高效工作区;引入各个驾驶工况模式控制策略的瞬时优化算法,进一步提高混合动力总成系统的整体效率。仿真和试验对比分析表明,提出的控制策略能够有效地降低NEDC循环工况百公里油耗,提高了搭载Atkinson循环发动机混合动力汽车的燃油经济性。     

Application of a modified thermostatic control strategy to parallel mild HEV for improving fuel economy in urban driving conditions

A modified thermostatic control strategy is applied to the powertrain control of a parallel mild hybrid electric vehicle (HEV) to improve fuel economy. This strategy can improve the fuel economy of a parallel mild HEV by operating internal combustion engine (ICE) in a high-efficiency region. Thus, in this study, experiments of a parallel mild HEV were conducted to analyze the characteristics of the hybrid electric powertrain and a numerical model is developed for the vehicle. Based on the results, the thermostatic control strategy was modified and applied to the vehicle model. Also, battery protection logic by using electrochemical battery model is applied because the active usage of battery by thermostatic control strategy can damage the battery. The simulation results of the vehicle under urban driving conditions show that the thermostatic control strategy can improve the vehicle’s fuel economy by 3.7 % compared with that of the conventional strategy. The results also suggest that the trade-off between the fuel economy improvement by efficient ICE operation and the battery life reduction by active battery usage should be carefully investigated when a thermostatic control strategy is applied to a parallel mild HEV.