纯电动车动力系统选型和基于AVL Cruise的性能仿真

纯电动车作为新能源车的一个重要解决方案,得到了快速发展。根据整车动力性参数对动力系统进行了选型,并利用先进的整车模拟软件Cruise进行了仿真验证。首先,利用Cruise搭建了一个纯电动车模型,并利用原车数据进行了标定,在此基础上进行了整车动力性能仿真计算,仿真结果表明该纯电动车选型的动力性能能够达到预期的目标,为纯电动车的前期开发节约了时间和成本。     

并联式混合动力电动汽车动力总成控制策略的仿真研究

分析了并联式混合动力电动汽车(PHEV)动力总成的构成及主要传递参数,阐述了电力辅助控制策略以及控制逻辑的具体实现,建立了PHEV动力总成各子系统包括发动机、电机和电池等的仿真模型,利用建立的仿真软件进行了控制策略及其控制参数的仿真研究。仿真结果表明,电池特性及发动机运行参数对整车的性能有较大的影响,根据不同的控制要求,调整相应的控制参数值,可以达到改善整车性能的目的。     

基于ADVISOR的电动汽车性能仿真

文章建立了基于卡尔曼滤波法的铅酸蓄电池组模型,并利用Advisor仿真软件,搭建了整车仿真模型,进行了整车动力性能仿真分析。仿真结果验证了仿真模型的正确性和方案的可行性。     

增程式低速电动轿车参数匹配与仿真EI北大核心CSCD

以某款增程式低速电动轿车为研究对象,在整车性能指标和系统结构确定的基础上,从电驱动系统、电储能系统、传动系统和辅助动力单元出发,对整车动力系统进行了参数匹配。同时利用电动汽车仿真软件Advisor,在UDDS循环工况下对整车性能进行了仿真分析。结果表明,所确定的动力系统方案满足整车基本性能要求。     

并联混合动力客车控制策略比较

控制策略的制定是混合动力电动汽车开发的关键,因为其直接影响着能量在车辆内部的流动及整车的性能。本文首先介绍了3种不同的并联混合动力客车控制策略:电动助力控制策略、实时控制策略及模糊逻辑控制策略,然后利用ADVISOR建立的SY6480整车模型在SIMULINK环境下进行整车仿真,根据仿真结果考察这些控制策略对于这一并联混合动力客车的燃油经济性的影响,最后通过分析,对于不同的控制策略的适用性作出评价。     

ISG型中度混合动力汽车动力驱动系统设计及性能仿真

针对ISG型轻度混合动力汽车的局限性,开展了ISG型中度混合动力汽车驱动系统设计研究。根据整车性能指标要求,进行了整车动力驱动系统包括发动机、ISG电机、蓄电池以及相关动力传动系统的参数设计;提出了ISG型中度混合动力汽车的基本控制策略;利用Matlab/Si mulink软件平台,建立了整车的动力学模型,并在选定的循环工况下,对整车性能进行了仿真。仿真结果表明：所设计的驱动系统参数匹配较为合理,整车动力性达到了相应的要求,燃油经济性得到了明显提高。     

增程式低速电动轿车参数匹配与仿真

以某款增程式低速电动轿车为研究对象,在整车性能指标和系统结构确定的基础上,从电驱动系统、电储能系统、传动系统和辅助动力单元出发,对整车动力系统进行了参数匹配。同时利用电动汽车仿真软件Advisor,在UDDS循环工况下对整车性能进行了仿真分析。结果表明,所确定的动力系统方案满足整车基本性能要求。     

插电式并联混合动力客车建模及仿真

基于Advisor软件中并联混合动力客车仿真模型,建立插电式并联双离合器混合动力客车仿真模型,并对发动机、电机、传动系和电池等进行参数匹配;分析电力辅助控制策略,利用正交设计对其控制参数进行优选研究。仿真结果表明,动力系统主要参数及整车控制策略设计合理,满足整车性能要求。     

基于燃料电池和超级电容的混合驱动系统参数匹配与仿真

初步探讨了以"燃料电池 超级电容(FC C)"作为一般轿车动力驱动系统的特点及性能参数,在构建其动力系统结构的基础上,对整车参数进行了匹配,并通过仿真软件PSAT对整车的动力性能进行仿真研究,结果显示该"FC C"动力系统基本能够满足整车的设计要求。     

基于Advisor的纯电动汽车动力性能仿真

在设计了以镍氢电池组和交流异步变频电机驱动的某纯电动汽车动力系统的基础上,利用Advisor车辆仿真软件建立了蓄电池、电动机及驱动系统和整车仿真模型.经过对该车整车动力性能仿真分析,表明该车动力系统设计方案是可行的.     

适用于城市行驶工况的电动车动力系统方案的匹配研究

以上海市中心城区的行驶工况为例,研究适合城市工况行驶的纯电动车动力系统方案。分析上海中心城区统计获得的行驶工况和行驶需求,得出电动车的动力指标和续驶里程需求作为电动车动力系统的设计目标,利用AVL CRUISE软件进行了动力系统的匹配,匹配结果很好地满足了从行驶工况出发的设计要求。     

超级电容在电动汽车上的应用探讨

电动汽车的设计是未来汽车工业改造和发展的必经过程,故确定动力性系统的指标与控制方法是需要研究的问题。介绍了作为电动汽车唯一能源的超级电容的特点、存在的问题以及研发情况。基于ADVISOR车辆仿真软件系统,进行了在典型的道路环境(驾驶工况)下的仿真研究。仿真结果表明:建立的各驱动系统的数学模型正确,该车的性能也基本与试验结果相吻合。     

电动汽车驱动系统再生制动特性分析与仿真

电动汽车行驶时对能量的需求以及延长续驶里程要求驱动电机具有再生制动能力,既可以提供制动力,又可以将制动过程中的能量回收。通过对汽车制动模式及其产生的能量进行分析。以永磁无刷直流电机系统在作电动汽车动力时实现电气制动为控制策略,仿真了回馈制动,并对仿真结果进行了分析、探讨。结果表明,再生制动的算法是可行的,能满足能量回收要求。     

Urban driving cycle for performance evaluation of electric vehicles

Nowadays, a number of environmental issues have seriously come to the fore. For this reason, the R & D spending on eco-friendly vehicles that use electric power has been gradually increasing. In general, fuel economy and pollutant emissions of both conventional and eco-friendly vehicles are measured through chassis dynamometer tests that are performed on a variety of driving cycles before an actual driving test. There are a number of driving cycles that have been developed for the for performance evaluation of conventional vehicles. However, there is a lack of research into driving cycle for EV. Because large differences exist between the drive system and driving charateristics of EV and that of CV, a study on driving cycle for EV should be conducted. In this study, the necessity of an urban driving cycle for the performance evaluation of electric vehicles is confirmed by developing the driving cycle. First, the Gwacheon-city Urban Driving Cycle for Electric Vehicles (GUDC-EV) is developed by using driving data obtained through actual driving experiments and statistical analysis. Second, GUDC-EV is verified by constructing EV simulators and performing simulations that use the actual driving data. The simulation results are then compared against existing urban driving cycles, such as FTP-72, NEDC, and Japan 10–15. These results confirm that GUDC-EV can be used as an urban driving cycle to evaluate the performance of electric vehicles and validate the necessity of development of the driving cycle for electric vehicles.     

基于模糊逻辑的电动汽车制动能量回馈系统

分析了电动汽车制动能量回馈的特点，针对电动汽车制动能量回馈时强鲁棒性的需求，设计了一种基于Sugeno模糊逻辑的制动能量回馈系统，以满足能量回馈的要求，该回馈系统提高了整车的制动性能以及续驶里程，也使整车的动力性、安全性和舒适性达到较好的平衡，文章同时估算了这种控制策略的能量回收效率。经仿真和实际测试，结果表明所提策略满足总体设计的性能指标要求。     

纯电动乘用车关键系统设计研究及分析验证

本文主要针对某纯电动乘用车进行关键系统选型及匹配分析,首先基于整车性能目标及整车性能参数,确定其动力驱动方式及制动能量回收策略和方案。其次为了更好提升整车能量管理水平,改善能耗,提升续航里程,本文研究的纯电动汽车制动系统采用电液助力系统(IBS)。IBS系统能够有效进行能量计算,确定液压系统是否介入工作,在满足制动需求的同时,改善整车能耗,提升续航里程。最后,在关键系统选型及设计分析上,利用MATLAB仿真软件进行性能初选及设计,结合AMEsim分析软件对选型结果进行加速性能及中国工况续驶里程数据校核,通过仿真与整车试验验证整车性能满足设计指标。     

Optimal power distribution of front and rear motors for minimizing energy consumption of 4-wheel-drive electric vehicles

In this paper, the optimal power distribution of the front and rear motors for minimizing energy consumption of a 4WD EV is investigated. An optimal power distribution control is developed based on the mathematical energy consumption model of an EV. The objective function is defined while ignoring time. And, the time effect is applied by considering the objective function for every single driving point which consists of the vehicle driving force and velocity. From the optimization problem, the optimal torque distribution maps of the front and rear motors can be obtained for all vehicle driving force and velocity ranges. These maps can be expressed using a 3-dimensional map. If the vehicle driving force and velocity are determined, the optimal front and rear motor torques can be determined using these maps. These maps can distribute the front and rear motor torques for the entire velocity range. Thus, these maps can perform the optimal power (torque times speed) distribution of the front and rear motors for minimizing the energy consumption of the 4WD EV. The performance of the optimal power distribution is evaluated by comparing the energy consumption to that of simple power distribution control. For obtaining the energy consumption, a vehicle driving simulation is performed. For the simulation, the driving cycle is required, and the NEDC (New European Driving Cycle) is used. From the simulation results, it is found that the energy consumption of simple power distribution is 4.8 % larger than the optimal one. Thus, the optimal power distribution can minimize the 4WD EV energy consumption as the optimization objective function.     

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.     

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).