Gaseous and Particulate Exhaust Emissions of Hybrid and Conventional Cars over Legislative and Real Driving Cycles

Road transport exhaust emissions represent the main sources of atmospheric pollution in urban areas, due to the growing number of circulating vehicles and travelled distances. In order to reduce this pollution source, stricter emission standards are periodically set by governments through- out the world. Consequently, the concentrations of gaseous pollutants and particulate mass to be measured during type-approval tests of new vehicles are becoming progressively lower;moreover from 2011, diesel cars have to comply with particle number limit. In order to assess emission levels of different technology vehicles and investigate the use of a particulate number measurement technique at the exhaust of very low-emitting vehicles, an experimental activity was carried out on three in-use vehicles: a diesel car equipped with a particulate trap (DPF), a hybrid gasoline-elec- tric car and a bi-fuel passenger car fuelled with compressed natural gas (CNG). Cold and hot gaseous and particulate emission factors and fuel consumption were measured during the execution of real and regulatory driving cycles on a chassis dynamometer. Particulate was characterized in terms of mass only for the diesel car and of particle number for all vehicles. The emissions measured over the NEDC show that all three vehicles comply with their standard limits, except CO for CNG passenger car and NOx for diesel car. Cold start influences CO and HC emissions and fuel consumption for all the tested vehicles and in particular for the hybrid car. The real driving cycle is the most critical pattern for the emissions of almost all pollutants. During constant speed tests, the emissions of particles of hybrid car are an order of magnitude lower than those of the CNG car.

Hybrid Power Pack: Hybrid Powertrain for City Cars

This paper presents a novel concept, the Hybrid Power Pack (HPP), which consists of a hybridization kit for transforming small city cars, powered by an original diesel engine, into a parallel hybrid vehicle. The study was jointly conducted by the University of Rome “Sapienza” and the Enea Casaccia research center. The idea is to design a hybrid powertrain that can be installed in a typical microcar, which means that all systems and components will be influenced by the limited space available in the motor compartment of the vehicle. In this paper the details of the mechanical and electrical realization of the powertrain will be discussed and the simulation of a small city car equipped with HPP will be presented and the results discussed and analyzed. The hybrid system also includes the battery pack which is composed of twenty-four Li-ion cells made by EIG, connected in series. The storage system is controlled as regards the voltage and temperature by a Battery Management System (BMS). All the above components are connected and managed by a control unit. The HPP presented in this paper obtains a reduction in fuel consumption higher than 20%. The solution presented with the HPP with its management strategy and the addition of the “plug-in function” makes the hybrid vehicle suitable in terms of performance and consumption in every driving conditions. The ideal strategy behind the “plug-in function” could represent a guideline for further achievements and experimentations, because it offers a simple hardware layout and a real reduction in fuel consumption.

Fuzzy Hybrid Control of Vibration Attitude of Full Car via Magneto-rheological Suspensions

A magneto-rheological（MR） semi-active suspension system with the controllable damping forces has received more attention in reducing the vibration of a vehicle. However, many control strategies only discussed one or two vibration states of the vehicle based on a quarter-car model or a half vehicle model via MR suspensions. They cannot provide a satisfying whole-vehicle performance on a road test. Hence, a full car vibration model via an MR suspension system is proposed. To reduce the heave, pitch and roll motion of the vehicle body and the vertical vibration of four wheels, a fuzzy hybrid controller for vibration attitude of full car via MR suspensions is proposed. First, a skyhook-fuzzy control scheme is designed to reduce the heave, roll and pitch motion of the vehicle body. Second, a revised ground hook control strategy is adopted to decrease the vertical vibration of the wheels. Finally, a hybrid control scheme based on a fuzzy reasoning method is proposed to tune the hybrid damping parameter, which is suitable for coordination the attitude of the vehicle body and the wheels. A test and control system for the vibration attitude of full car is set up. It is implemented on a car equipped with four MR suspensions. The results on random highway and rough road indicate that the fuzzy hybrid controller can decrease the vibration accelerations of the vehicle body and the wheels to 65%-80% and 80%-90%, respectively. It reduces the automotive vibrations of heave, roll and pitch more effectively than a passive suspension and an MR suspension with a traditional hybrid control scheme so that it achieves better ride comfort and road holding concurrently. This paper proposes a new fuzzy hybrid control（FHC） method for reducing vibration attitude of full car via MR suspensions and develops a road test to evaluate the FHC.

CONTROL STRATEGY OF A PARALLEL HYBRID CAR WITH A METAL BELT-PLANETARY GEAR CONTINUOUSLY VARIABLE TRANSMISSION SYSTEM

The most remarkable characteristic of a metal belt-planetary gearcontinuously variable transmission is a wider ratio range and a bigger torque capacity than aconventional metal pushing belt continuously variable transmission. A parallel hybrid car with thistransmission system not only can reduce fuel consumption and pollutant emission at a ECE city cycle,but also can keep the motor working in the most efficiency area and can be started by a lower powermotor by oneself. At the same time, the continuously variable transmission system can realize thesmooth switch between the motor and the engine.

An optimal energy management development for various configuration of plug-in and hybrid electric vehicle

Due to soaring fuel prices and environmental concerns, hybrid electric vehicle(HEV) technology attracts more attentions in last decade. Energy management system, configuration of HEV and traffic conditions are the main factors which affect HEV's fuel consumption, emission and performance. Therefore, optimal management of the energy components is a key element for the success of a HEV. An optimal energy management system is developed for HEV based on genetic algorithm. Then, different powertrain system component combinations effects are investigated in various driving cycles. HEV simulation results are compared for default rule-based, fuzzy and GA-fuzzy controllers by using ADVISOR. The results indicate the effectiveness of proposed optimal controller over real world driving cycles. Also, an optimal powertrain configuration to improve fuel consumption and emission efficiency is proposed for each driving condition. Finally, the effects of batteries in initial state of charge and hybridization factor are investigated on HEV performance to evaluate fuel consumption and emissions. Fuel consumption average reduction of about 14% is obtained for optimal configuration data in contrast to default configuration. Also results indicate that proposed controller has reduced emission of about 10% in various traffic conditions.

Novel flexible hybrid electric system and adaptive online-optimal energy management controller for plug-in hybrid electric vehicles

In order to achieve the improvement of the driving comfort and energy efficiency,an new e-CVT flexible full hybrid electric system(E2FHS) is proposed,which uses an integrated main drive motor and generator to take the place of the original automatic or manual transmission to realize the functions of continuously variable transmission(e-CVT).The design and prototype realization of the E2FHS system for a plug-in hybrid vehicle(PHEV) is performed.In order to analyze and optimize the parameters and the power flux between different parts of the E2FHS,simulation software is developed.Especially,in order to optimize the performance of the energy economy improvement of the E2FHS,the effect of the different energy management controllers is investigated,and an adaptive online-optimal energy management controller for the E2FHS is built and validated by the prototype PHEV.

Energy Control of Plug-In Hybrid Electric Vehicles Using Model Predictive Control With Route Preview

The paper proposes an adoption of slope,elevation,speed and route distance preview to achieve optimal energymanagement of plug-in hybrid electric vehicles(PHEVs).Theapproach is to identify route features from historical and real-time traffic data,in which information fusion model and trafficprediction model are used to improve the information accuracy.Then,dynamic programming combined with equivalent con-sumption minimization strategy is used to compute an optimalsolution for real-time energy management.The solution is thereference for PHEV energy management control along the route.To improve the system's ability of handling changing situation,the study further explores predictive control model in the real-time control of the energy.A simulation is performed to modelPHEV under above energy control strategy with route preview.The results show that the average fuel consumption of PHEValong the previewed route with model predictive control(MPC)strategy can be reduced compared with optimal strategy andbase control strategy.

Variable Parameter Self-Adaptive Control Strategy Based on Driving Condition Identification for Plug-In Hybrid Electric Bus

A variable parameter self-adaptive control strategy based on driving condition identification is proposed to take full advantage of the fuel saving potential of the plug-in hybrid electric bus(PHEB).Firstly,the principal component analysis(PCA)and the fuzzy c-means clustering(FCM)algorithm is used to construct the comprehensive driving cycle,congestion driving cycle,urban driving cycle and suburban driving cycle of Chinese urban buses.Secondly,an improved particle swarm optimization(IPSO)algorithm is proposed,and is used to optimize the control parameters of PHEB under different driving cycles,respectively.Then,the variable parameter self-adaptive control strategy based on driving condition identification is given.Finally,for an actual running vehicle,the driving condition is identified by relevance vector machine(RVM),and the corresponding control parameters are selected to control the vehicle.The simulation results show that the fuel consumption of using the variable parameter self-adaptive control strategy is reduced by 4.2% compared with that of the fixed parameter control strategy,and the feasibility of the variable parameter self-adaptive control strategy is verified.

Simulation research of energy management strategy for dual mode plug-in hybrid electrical vehicles

In this paper, a plug-in hybrid electrical vehicle(PHEV) is taken as the research object, and its dynamic performance and economic performance are taken as the research goals. Battery charge-sustaining(CS) period is divided into power mode and economy mode. Energy management strategy designing methods of power mode and economy mode are proposed. Maximum velocity, acceleration performance and fuel consumption are simulated during the CS period in the AVL CRUISE simulation environment. The simulation results indicate that the maximum velocity and acceleration time of the power mode are better than those in the economy mode. Fuel consumption of the economy mode is better than that in the power mode. Fuel consumption of PHEV during the CS period is further improved by using the methods proposed in this paper, and this is meaningful for research and development of PHEV.

向电动车看齐 PRIUS PLUG-IN HYBRID

单从环保方面来说,纯电动车无疑是最优秀的,但是充电设施的不完善以及自身续航里程有限等因素依然制约着纯电动车的发展,而单纯的混合动力车型在控制CO2排放方面能力有限,于是一种名为"PHEV"的车型诞生了。

Analysis of Hybrid Rechargeable Energy Storage Systems in Series Plug-In Hybrid Electric Vehicles Based on Simulations

In this paper, an extended analysis of the performance of different hybrid Rechargeable Energy Storage Systems (RESS) for use in Plug-in Hybrid Electric Vehicle (PHEV) with a series drivetrain topology is analyzed, based on simulations with three different driving cycles. The investigated hybrid energy storage topologies are an energy optimized lithium-ion battery (HE) in combination with an Electrical Double-Layer Capacitor (EDLC) system, in combination with a power optimized lithium-ion battery (HP) system or in combination with a Lithium-ion Capacitor (LiCap) system, that act as a Peak Power System. From the simulation results it was observed that hybridization of the HE lithium-ion based energy storage system resulted from the three topologies in an increased overall energy efficiency of the RESS, in an extended all electric range of the PHEV and in a reduced average current through the HE battery. The lowest consumption during the three driving cycles was obtained for the HE-LiCap topology, where fuel savings of respectively 6.0%, 10.3% and 6.8% compared with the battery stand-alone system were achieved. The largest extension of the range was achieved for the HE-HP configuration (17% based on FTP-75 driving cycle). HP batteries however have a large internal resistance in comparison to EDLC and LiCap systems, which resulted in a reduced overall energy efficiency of the hybrid RESS. Additionally, it was observed that the HP and LiCap systems both offer significant benefits for the integration of a peak power system in the drivetrain of a Plug-in Hybrid Electric Vehicle due to their low volume and weight in comparison to that of the EDLC system.

大佬的环保生活 NEW BENZ S 500 PLUG-IN HYBRID

众所周知，以丰田为代表的日系车企在混合动力及插电式混合动力领域一直处于行业领先水平，但是其他车企并未坐以待毙，奔驰公司曾以老款S级轿车为基础研发混合动力及插电式混合动力技术，并于2009正式推出S 400 Hybrid车型以及S 500 Plug-in Hybrid概念车。如今，经过4年的进化和发展，插电式混合动力技术也更趋成熟，于是今年的法兰克福车展就成了奔驰S 500 Plug-in Hybrid量产车型首发亮相的最佳舞台。

OPEL GRANDLAND X PLUG-IN HYBRID4 能“混”才行

'随着各家车企都在新能源领域进行着自己的努力,似乎再不行动的汽车品牌就会被这个时代抛弃。日前,在中国已很少见却在欧洲混得风生水起的欧宝推出了旗下首款插电混合动力车型——Grandland X Plug-in Hybrid4,正如其名称所写的那样,新车型是基于Grandland X打造而来。'

混出精彩 VOLVO XC60 PLUG-IN HYBRID CONCEPT

凭借着高大宽敞的空间和底盘的高通过性,在自驾游越来越盛行的今天,SUV车型慢慢成了市场上的＂香馍馍＂,其市场热度毫不逊色于小排量车型。但高油耗和高排放的环保问题成为制约其进一步发展的瓶颈,于是开发混合动力的SUV车型成为汽车厂商研发的一个重点。

Plug-in Hybrid启示录

2009年的法兰克福和东京车展中，奔驰、宝马、丰田、铃木、三菱等都展出了他们的插电式混合动力车，这是否代表这种技术已经是新一代混合动力车的趋势？

起亚Ray Plug-In Hybrid

全新Ray概念车乃由Kia美国设计中心操刀，旨在将Kia新一代设计元素，融合在Plug—in Hybrid插电式油电混合车款之中。目前正在研究替代动力的方案。而Kia也计划在今年内，将LPG Hybrid液化石油气混合动力车款导入市售量产阶段，并在韩国开售。

“银课”背景下基于混合式教学模式的《二手车鉴定与评估》教学改革探索与实践

面向职业教育“银课”建设课程改革,提出了课程高阶性建设的教学改革模式。以“二手车鉴定与评估”课程为例,结合“二手车鉴定与评估”的课程特点,将混合式教学模式引入课程并进行部分实践,将“项目化教学”“信息化教学”“任务驱动教学”等教学方法进行有机结合,从课程改革目标、优化课程内容、创新教学方法与授课方式及教学效果评价体系建立等方面做出尝试,旨在将其打造成教学内容质量高、教学效果好的线上线下混合式银课,并对课程重点知识点的实际建设进行了分析和说明,为“银课”课程建设改革提供了参考。

小型全电/混动飞机技术路线与动力系统综述

该文对小型全电/混动载人飞机的技术发展路线、航空推进电机、动力系统架构进行分析、总结与展望。首先,从载人飞机的气动布局、结构拓扑、动力源和起降形式等方面分析,分出6条技术路线,总结各自的乘客数、最大起飞重量、巡航速度、功率和航程等技术指标。其次,总结已装机或拟装机航空推进电机的技术参数和应用机型。对先进航空推进电机的发展现状,按功率等级分类探讨了三相永磁电机、多相永磁电机、兆瓦级涡轮机驱动的兆瓦级电机/发电机、高温超导电机。最后,对6种动力系统架构的技术路线特点、关键技术进行梳理,分析载人全电/混动飞机未来的发展方向。国内载人电动/混动飞机领域刚起步,该文的研究工作对飞机的总体气动布局设计、功率需求、器件选型、动力系统设计具有重要的参考价值。

混合动力飞行汽车建模与性能仿真分析

飞行汽车作为未来立体交通的重要运载工具,具备垂直起降和巡航功率切换的能力,增程式混合动力飞行汽车结合了动力电池和燃气轮机的优点,能更好地满足城际交通的能源需求。目前研究主要涉及飞行汽车气动特性分析、交通网规划和推进系统建模等方面,但缺乏关于飞行任务参数对混合动力系统最优配置以及相应飞行任务经济性的定量描述的研究。本文选用1000~3000kg量级的混合动力飞行汽车作为研究对象,分析对比了上述飞行汽车在不同功率等级燃气轮机发电装置配置下,在60~360km航程下的任务经济性及有效载荷占比。结果表明,航程在120km以上的飞行任务飞行的平均成本有极小值,此时的燃气轮机功率在巡航功率附近;同时,飞行汽车的有效载荷占比与燃气轮机功率等级呈正相关。对于1000kg量级的飞行汽车,在航程为60km时,其任务平均成本与燃气轮机功率呈正相关。在航程大于120km时,其任务平均成本极小值约为0.004元/(km/kg)。对于2000~3000kg量级的飞行汽车,在航程大于120km时,其任务平均成本极小值稳定在0.004元/(km/kg)左右。本文定量分析了航程和载荷对纯电动和混合动力飞行汽车任务经济性的影响,说明了纯电动和混合动力飞行汽车分别适用的任务场景,从而为飞行汽车及部件生产商提供参考。

飞行汽车混动系统动力电池和增程器的协调控制

城市空中交通(urban air mobility, UAM),是近期解决当前地面交通拥堵困境的有效方法。因此,研究飞行汽车典型飞行任务剖面下的动力系统工作特性至关重要。由于电池能量密度的限制以及纯电动飞行汽车的里程限制,因此使用油电混合作为飞行汽车的动力系统更为合理。总结垂直起降飞行汽车(vertical takeoff and landing, VTOL)任务剖面下混动系统运行性能的相关研究。基于MATLAB Simulink,提出一种混合动力的协调方法,其中同时考虑两种操作模式。根据实际操作条件,预设垂直起降和平飞两种工况下不同的操作模式。在此基础上,研究作为主要电源的增程器调节功率流和提高增程器工作效率的电池协调。直流母线电压由DC/DC转换器调节,有利于电池组的整体寿命,实现了充电和放电状态期间的功率共享。仿真结果表明:可以很好地控制直流母线电压,并且增程器和电池之间的功率共享遵循设计。