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1.
通过对混合动力汽车、纯电动汽车、燃料电池电动汽车、氢发动机汽车等新能源汽车的发展进行对比分析,旨在反映当前主流新能源汽车的最新发展水平和存在的发展瓶颈,为今后新能源汽车的进一步发展及其公共配套设施的不断完善进行初步的探索。  相似文献   

2.
芬子 《科学生活》2013,(11):48-51
我们在《未来汽车三部曲》的上两篇文章里介绍了自动驾驶汽车和联网汽车,当然谈到未来的汽车,当然少不了电动汽车。我们首先需要说明,这里所说的电动汽车,既不包括在公园里常见的电动观光车,也不包括在北京奥运会和上海世博会上已经常见的电动公共汽车,而是指纯用电力驱动的小轿车。我们之所以强调“纯电力”,是因为一般意义上的电动汽车有三大类型,即纯电动汽车、混合动力汽车和燃料电池汽车。  相似文献   

3.
伴随着全球经济的快速发展,随之而来的不仅仅是经济的进步,还有环境的恶化以及能源危机。开发研制节能、小排放量的汽车能够显著缓解能源供应压力,提升生态环境质量。其中,混合动力汽车就是结合了传统燃油型汽车以及电动汽车的综合车型,其拥有燃油车的动力以及电动车的低排量,成为了解决能源危机,提升环境质量的有效方式之一。文章主要针对混合动力汽车优化控制策略进行探析。  相似文献   

4.
全球电动汽车产业专利计量分析   总被引:5,自引:0,他引:5  
电动汽车代表着汽车产业的发展方向,对全球电动汽车产业专利进行计量分析,将对我国电动汽车产业的发展具有重要意义.分析结果显示,全球电动汽车专利技术高产机构主要集中在日本;热点技术领域主要集中在电力牵引、混合驱动汽车、牵引用蓄电池、混合电能、混合动力汽车、引电机转速控制等技术领城.中国电动汽车产业发展的面对着重大的机遇与挑战.  相似文献   

5.
声音     
《中国科技纵横》2011,(1):17-17
张相木:新能源汽车不包括普通混合动力汽车 近日,工信部装备工业司司长张相木于“2010中国国际新能源汽车发展高峰论坛”表示,新能源汽车是采用新型动力系统,主要或全部使用新型能源的汽车。据此,新能源汽车主要包括纯电动汽车、插电式混合动力汽车和燃料电池汽车,而普通混合动力汽车不算新能源汽车。  相似文献   

6.
<正>清洁能源汽车,又称为新能源汽车、清洁汽车,是以清洁燃料取代传统汽油的环保型汽车的统称,其特征在于能耗低、污染物排放少,属于环保友好型。新能源汽车是指采用非常规的车用燃料作为动力来源,综合车辆的动力控制和驱动方面的先进技术,形成的技术原理先进、具有新技术、新结构的汽车。新能源汽车包括混合动力汽车、纯电动汽车、燃料电池电动汽车、氢发动机汽车、其他新能源汽车等各类产品。  相似文献   

7.
电动汽车是至少以一种动力源为车载电源,全部或部分由电动机驱动,包括纯电动汽车、混合动力电动汽车和燃料电池汽车三种类型。其中第一种和第三种则脱离了燃油发动机,以自载电池为电源,用大功率电动机提供动力的运载工具。现代的电动汽车是一种多学科高新技术的综合集成。 中国汽车工业的革命 1998年6月7日,美国《洛杉矶时报》发表题为《即将来临的石油危机—真  相似文献   

8.
本文对CVT技术与基于CVT的单轴并联后驱HEV设计进行了介绍与分析,对基于CVT技术的三种混合动力汽车关键性技术进行了研究,希望能够进一步推动我国混合动力汽车产业的发展。  相似文献   

9.
<正>发展新能源和新能源汽车是大势所趋从能源的交通发展趋势看,电动化、低碳化、智能化是大势所趋。电动化是动力革命。电动化是动力革命,但不是能源源头革命。油电混合动力汽车、纯电动汽车、氢能燃料电池汽车都属于电动化。动力革命目前正在推进,而且技术逐步趋于成熟。比如,近10年内纯电动汽车锂离子电池性能提高2倍以上、成本降低80%  相似文献   

10.
新能源汽车竞争战略与策略研究   总被引:2,自引:0,他引:2  
本文简述了传统能源汽车及新能源汽车发展的现状与问题,分析了新能源汽车的市场、技术发展前景,提出发展新能源汽车的竞争战略与策略建议,其中着重分析了混合动力汽车、纯电动汽车和燃料电池汽车的市场竞争策略。  相似文献   

11.
混合动力汽车领域企业竞争力研究——基于专利分析视角   总被引:1,自引:0,他引:1  
缪小明  张倩  汤松 《软科学》2014,(11):1-5
以220件混合动力汽车高被引专利为研究对象,运用社会网络分析方法,从点度中心度、中间中心度、核心-边缘结构和凝聚子群等角度对构建的网络进行分析。结果表明:美国和日本的一些企业在该领域的研发实力较强;企业网络中的小团体现象较严重,只有丰田等少数企业拥有较大竞争优势;各大企业的技术竞争点集中在动力系统、控制系统和蓄电池等方面。  相似文献   

12.
This paper describes the application of the genetic algorithm for the optimization of the control parameters in parallel hybrid electric vehicles (HEV). The HEV control strategy is the algorithm according to which energy is produced, used, and saved. Therefore, optimal management of the energy components is a key element for the success of a HEV. In this study, based on an electric assist control strategy (EACS), the fitness function is defined so as to minimize the vehicle engine fuel consumption (FC) and emissions. The driving performance requirements are then considered as constraints. In addition, in order to reduce the number of the decision variables, a new approach is used for the battery control parameters. Finally, the optimization process is performed over three different driving cycles including ECE-EUDC, FTP and TEH-CAR. The results from the computer simulation show the effectiveness of the approach and reduction in FC and emissions while ensuring that the vehicle performance is not sacrificed.  相似文献   

13.
基于国家863电动汽车重大专项课题的国家汽车创新战略和混合动力汽车的科研项目进展和示范运营分析,探讨其中混合动力汽车课题的组织协同学习机制,并进一步探讨了混合动力汽车的国家汽车创新战略的协同组织学习过程和协同组织学习网络.  相似文献   

14.
Stability and energy consumption have always been important issues in electric vehicle research. Excessive slip energy not only aggravates tire wear, but also consumes energy of electric vehicle. In order to ensure the lateral stability and to reduce the slip energy dissipation of the distributed drive electric vehicle (DDEV) equipped with Mechanical Elastic Wheel (MEW), an integrated framework considering both tire slip energy dissipation and lateral stability control is proposed. The SESC (Slip Energy and Stability Control) is a hierarchical control framework for DDEV with MEW. A PID speed tracking controller and an (Integral Terminal Slide Mode) ITSM controller are designed at the upper-level controller. The ITSM controller can improve the lateral stability of the vehicle by obtaining the desired yaw moment. Speed tracking controller can stabilize the speed of the vehicle and obtain the desired longitudinal force. At the lower-level controller, the brush model of the MEW is proposed to express tire slip energy. In order to reduce the error of the vehicle dynamics and the slip energy dissipation, a mixed objective function including a holistic corner controller (HCC) and a minimum tire slip energy characterization is proposed. The proposed control framework is verified by Carsim and Matlab/Simulink under emergency simulation conditions. The simulation results show that the SESC based method can improve the lateral stability of DDEV with MEW effectively, and has better performance compared with fuzzyPID+AD based method. Meanwhile, the SESC achieves less slip energy than conventional torque distribution method.  相似文献   

15.
在对电动汽车充电特性和负载配置的研究基础上,提出一种面向居民区的充电运营模式、运行策略及典型方案设计。首先分析了传统充电服务运营模式的优缺点,在此基础上提出联合汽车厂商和充电桩厂商混合运营模式和共享充电桩运营模式,接着给出了一种面向居民区电动汽车充电运行策略,包括充电价格的确定方式、基于峰谷分时电价政策的引导性充电模式和电动汽车老旧电池储能装置综合利用,仿真结果验证了所提运行策略的有效性,最后完成面向居民区电动汽车充电装置的典型设计,为电动汽车的广泛普及奠定技术基础。  相似文献   

16.
本文借鉴库恩科学范式的思想,界定了产业技术范式内涵,刻画了产业技术范式变革过程中技术标准的作用机理。运用专利计量方法定量化描述了传统汽车技术体系形成到新能源汽车技术范式变革的过程,研究表明,传统汽车技术已经经历了完整的范式周期,新能源汽车处于范式发展期且新的技术体系正在形成,进而展示了汽车产业技术变革期技术标准从技术规范到与知识产权相结合的标准体系的演进路径,揭示了技术标准在汽车产业范式演进过程中的规范、桥梁和转化作用,以期为我国新能源汽车产业尽快形成有竞争力的技术标准体系提供理论参考。  相似文献   

17.
国外混合动力汽车领域专利引证分析   总被引:4,自引:0,他引:4  
通过专利引证分析方法对国外混合动力汽车技术进行了深入分析。运用专利可视化的理念及工具确定了该领域的优势竞争实体及核心技术要素,揭示了本领域技术先驱的发展、外围技术分布情况及整个领域核心技术的迁移路径,为我国该领域技术引进、研发方向的选择等竞争策略提供线索。  相似文献   

18.
国内电动汽车专利计量分析   总被引:1,自引:0,他引:1  
蒋海龙  魏瑞斌 《现代情报》2013,33(3):168-172
电动汽车作为未来汽车工业的发展方向,对中国专利信息中心(CPIC)数据库中的电动汽车相关专利申请量进行计量分析。分析结果表明,近几年来国内车企和科研机构在电动汽车领域专利申请量增长强劲,在新能源汽车、动力电池及关键零部件技术等技术领域达到国际水平。本文聚焦国内电动汽车产业的专利技术,在文献调研的基础上绘制相关图表展开专利计量分析,旨在为我国电动汽车产业的发展提出参考。  相似文献   

19.
A novel hierarchical coordination control strategy (HCCS) is offered to guarantee the stability of four-wheel drive electric vehicles (4WD-EVs) combining the Unscented Kalman filter (UKF). First, a dynamics model of the 4WD-EVs is established, and the UKF-based estimator of sideslip angle and yaw rate is constructed concurrently. Second, the equivalent cornering stiffness coefficients are jointly estimated to consider the impact of vehicle uncertainty parameters on the estimator design. Afterwards, a HCCS with two-level controller is presented. The sideslip angle and yaw rate are controlled by an adaptive backstepping-based yaw moment controller, and the computational burden is relieved by an improved adaptive neural dynamic surface control technology in the upper-level controller. Simultaneously, the optimal torque distribution controller of hub motors is developed to optimize the adhesion utilization ratio of tire in the lower-level controller. Finally, the proposed HCCS has shown effective improvement in the trajectory tracking capability and yaw stability of the 4WD-EVs under various maneuver conditions compared with the traditional Luenberger observer-based and the federal-cubature Kalman filter-based hierarchical controller.  相似文献   

20.
In parallel hybrid electric vehicles (HEVs), the power split between the engine and the electric motor as well as the gear shift in the gearbox determines the overall energy efficiency. In this paper an adaptive energy management strategy with velocity forecast is proposed to optimize the fuel consumption in parallel HEVs, which is formulated into a mixed-integer optimization problem. Approximate dynamic programming with a novel actor-gear-critic design is presented for simultaneously controlling the power split and gear shift online. The power split as a continuous variable is determined from an actor network to realize the energy distribution between two power sources. The gear shift as a discrete variable is obtained from a gear network to adjust the gear ratio in the gearbox. The concept enables an online learning of the energy management strategy for different driving behaviors without the requirement of a system model and the driving cycle. Simulation results indicate that the proposed strategy achieves close fuel economy compared with the optimal solutions resulting from dynamic programming. Furthermore, a multi-stage neural network is introduced for velocity forecast, providing a computationally efficient training framework with good prediction performance. The velocity prediction is finally combined with the energy management strategy for an effective application and fuel economy.  相似文献   

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