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Automotive revolution and carbon neutrality
《能源前沿(英文)》 页码 693-703 doi: 10.1007/s11708-023-0890-8
关键词: automotive revolution electric vehicles (EVs) hydrogen energy fuel cell
Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN
《能源前沿(英文)》 2020年 第14卷 第2期 页码 298-317 doi: 10.1007/s11708-019-0648-5
关键词: electric vehicles (EVs) residential distribution networks (RDNs) voltage unbalance factor (VUF) state-of charge (SOC) time-of-use (TOU)
Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm
S. SURENDER REDDY,Jae Young PARK,Chan Mook JUNG
《能源前沿(英文)》 2016年 第10卷 第3期 页码 355-362 doi: 10.1007/s11708-016-0414-x
关键词: battery storage electric vehicles (EVs) microgrid (MG) optimal scheduling solar photovoltaic (PV) system wind energy conversion system
《机械工程前沿(英文)》 2021年 第16卷 第4期 页码 887-900 doi: 10.1007/s11465-021-0653-3
关键词: electric vehicle nonsynchronizer automated mechanical transmission (NSAMT) planetary gear coordinated shift control dynamic tooth alignment
郭孔辉
《中国工程科学》 2011年 第13卷 第9期 页码 4-7
简单介绍了电动车的特点和发展情况,认为电池比重量大、比价格高是电动汽车的特点,成本、寿命和重量是发展电动汽车的关键;提出了我国电动车行业的一些不合理的现象;指出发展小型高效电动汽车是我国汽车产业发展的战略选择;最后给出了电动汽车发展的路线:市场引导、扶小带大、低端切入、多样发展。
QIN Datong, YE Ming, LIU Zhenjun
《机械工程前沿(英文)》 2007年 第2卷 第3期 页码 364-369 doi: 10.1007/s11465-007-0064-0
关键词: SOC Braking battery regenerative braking starter/generator
Techno-economic analysis of the adoption of electric vehicles
Donald KENNEDY, Simon P. PHILBIN
《工程管理前沿(英文)》 2019年 第6卷 第4期 页码 538-550 doi: 10.1007/s42524-019-0048-x
关键词: BEV battery powered electric vehicle environmental impact of electric vehicles techno-economic analysis gasoline versus electric powered cars diesel versus electric cars consumer behaviour
A review on the electric vehicle routing problems: Variants and algorithms
Hu QIN , Xinxin SU, Teng REN, Zhixing LUO
《工程管理前沿(英文)》 2021年 第8卷 第3期 页码 370-389 doi: 10.1007/s42524-021-0157-1
关键词: electric vehicles routing recharging stations exact algorithms metaheuristics
Impact evaluation of large scale integration of electric vehicles on power grid
Rabah BOUDINA, Jie WANG, Mohamed BENBOUZID, Farid KHOUCHA, Mohamed BOUDOUR
《能源前沿(英文)》 2020年 第14卷 第2期 页码 337-346 doi: 10.1007/s11708-018-0550-6
关键词: PHEV vehicle-to-grid (V2G) technical impact IEEE 14 bus power flow analysis
Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle
P. PADMAGIRISAN, V. SANKARANARAYANAN
《能源前沿(英文)》 2019年 第13卷 第2期 页码 296-306 doi: 10.1007/s11708-018-0605-8
关键词: battery management system hybrid electric vehicles (HEVs) maximum power point tracking (MPPT) solar photovoltaic
Sizing of hybrid PMSG-PV system for battery charging of electric vehicles
M. M. RAJAN SINGARAVEL,S. ARUL DANIEL
《能源前沿(英文)》 2015年 第9卷 第1期 页码 68-74 doi: 10.1007/s11708-015-0349-7
陈立泉
《中国工程科学》 2002年 第4卷 第11期 页码 32-36
简要介绍了我国电动车的开发现状,指出了发展电动车的瓶颈是电池;阐明了锂离子电池对发展电动车的作用,特别强调目前的关键是研发适于电动车的锂离子电池材料;简述了作者的实验室在电动车锂离子电池关键材料研究方面的最新进展。
Towards neutral steer and sideslip reduction for four-wheeled electric vehicles
Guisheng ZHAI, Masayuki NAKA, Tomoaki KOBAYASHI, Joe IMAE
《机械工程前沿(英文)》 2012年 第7卷 第1期 页码 16-22 doi: 10.1007/s11465-012-0316-5
This paper proposes an approach to achieving both neutral steer and sideslip reduction for four-wheeled electric vehicles. The control problem is reduced to constructing a servo system tracking appropriate reference input, where the tracking is realized in the framework of ?∞ control. To deal with time-varying vehicle velocity for practical purpose, a gain scheduling strategy is developed to obtain the controller, where the lower and upper bounds of the velocity are used to obtain a polytopic range for the parameters in the system coefficient matrices. A numerical example is given to show validity of the proposed approach.
关键词: four-wheeled electric vehicles neutral steer sideslip reduction servo system ?∞ control&sortBy=weightDesc"> ?∞ control')" href="#">?∞ control gain scheduling linear matrix inequality (LMI)
基于极限学习机的电动汽车锂离子动力电池外部短路热模型研究 Article
杨瑞鑫, 熊瑞, Weixiang Shen, Xinfan Lin
《工程(英文)》 2021年 第7卷 第3期 页码 395-405 doi: 10.1016/j.eng.2020.08.015
锂离子动力电池外部短路(ESC)是电动汽车常见且严重的电气故障之一。为此,本文提出了一种新型电池热模型以准确刻画动力电池外部短路发生后的温度行为。主要工作如下:在不同电池荷电状态和环境温度下,设计并系统地开展了动力电池外部短路实验;为保证模型参数的物理意义和模型的精准性,利用集总参数热模型替换经典极限学习机中的激活函数,构建了基于极限学习机的电池热(ELMT)模型,实现了模型无需迭代调节参数和模型参数就可以具备物理属性的双重优势,极大提高了模型计算效率与准确度;为了评估模型改进的必要性,比较了极限学习机热模型与遗传算法参数化的多集总参数热(MLT)模型。结果表明,ELMT模型相比MLT模型具有更优异的计算效率以及拟合、预测精度。其中,ELMT模型拟合和预测电池温度的均方根误差分别为0.65 ℃和3.95 ℃,MLT模型拟合和预测电池温度的均方根误差分别为3.97 ℃和6.11 ℃。
Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD
《机械工程前沿(英文)》 2015年 第10卷 第2期 页码 154-167 doi: 10.1007/s11465-015-0336-z
The main proposition of the current investigation is to develop a computational intelligence-based framework which can be used for the real-time estimation of optimum battery state-of-charge (SOC) trajectory in plug-in hybrid electric vehicles (PHEVs). The estimated SOC trajectory can be then employed for an intelligent power management to significantly improve the fuel economy of the vehicle. The devised intelligent SOC trajectory builder takes advantage of the upcoming route information preview to achieve the lowest possible total cost of electricity and fossil fuel. To reduce the complexity of real-time optimization, the authors propose an immune system-based clustering approach which allows categorizing the route information into a predefined number of segments. The intelligent real-time optimizer is also inspired on the basis of interactions in biological immune systems, and is called artificial immune algorithm (AIA). The objective function of the optimizer is derived from a computationally efficient artificial neural network (ANN) which is trained by a database obtained from a high-fidelity model of the vehicle built in the Autonomie software. The simulation results demonstrate that the integration of immune inspired clustering tool, AIA and ANN, will result in a powerful framework which can generate a near global optimum SOC trajectory for the baseline vehicle, that is, the Toyota Prius PHEV. The outcomes of the current investigation prove that by taking advantage of intelligent approaches, it is possible to design a computationally efficient and powerful SOC trajectory builder for the intelligent power management of PHEVs.
关键词: trip information preview intelligent transportation state-of-charge trajectory builder immune systems artificial neural network
标题 作者 时间 类型 操作
A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution
Salman HABIB, Muhammad Mansoor KHAN, Farukh ABBAS, Muhammad NUMAN, Yaqoob ALI, Houjun TANG, Xuhui YAN
期刊论文
Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm
S. SURENDER REDDY,Jae Young PARK,Chan Mook JUNG
期刊论文
Coordinated shift control of nonsynchronizer transmission for electric vehicles based on dynamic tooth
期刊论文
Regenerative braking control strategy in mild hybrid electric vehicles equipped with automatic manual
QIN Datong, YE Ming, LIU Zhenjun
期刊论文
A review on the electric vehicle routing problems: Variants and algorithms
Hu QIN , Xinxin SU, Teng REN, Zhixing LUO
期刊论文
Impact evaluation of large scale integration of electric vehicles on power grid
Rabah BOUDINA, Jie WANG, Mohamed BENBOUZID, Farid KHOUCHA, Mohamed BOUDOUR
期刊论文
Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle
P. PADMAGIRISAN, V. SANKARANARAYANAN
期刊论文
Sizing of hybrid PMSG-PV system for battery charging of electric vehicles
M. M. RAJAN SINGARAVEL,S. ARUL DANIEL
期刊论文
Towards neutral steer and sideslip reduction for four-wheeled electric vehicles
Guisheng ZHAI, Masayuki NAKA, Tomoaki KOBAYASHI, Joe IMAE
期刊论文