基于双MCU的纯电动汽车整车控制器硬件设计

根据长城汽车某传统车型改装成纯电动车的实际需求,及对整车控制系统的要求设计整车控制器,详细介绍电源管理、CAN通信、输入信号处理以及继电器驱动等电路的设计方法。基于双MCU的硬件设计方案增强了整车控制系统的硬件故障自诊断能力,大大提高了整车控制器的可靠性。     

电动汽车用电机及其控制器测试系统研究

对电动汽车驱动电机及其控制器试验系统的4种测试方案进行对比分析,总结出每种试验系统的优缺点,给企业搭建适合自身的试验系统提供参考。     

铝空气电池——电动车辆电源革命性的突破

2014年春,一种全新的铝空气电池横空出世,对解决电动车辆电源的续航能力具有划时代的意义。本文介绍铝空气电池的研究进程、特点、原理、设计模式、可以达到的性能指标,阐述了金属空气电池发展现状前景和应用领域。     

Incentives for promoting Battery Electric Vehicle (BEV) adoption in Norway

Norway has become a global forerunner in the field of electromobility and the BEV market share is far higher than in any other country. One likely reason for this is strong incentives for promoting purchase and ownership of BEVs. The purpose of this study is to describe the role of incentives for promoting BEVs, and to determine what incentives are critical for deciding to buy a BEV and what groups of buyers respond to different types of incentives. The questions are answered with data from a survey among nearly 3400 BEV owners in Norway.Exemptions from purchase tax and VAT are critical incentives for more than 80% of the respondents. This is very much in line with previous research, which suggests that up-front price reduction is the most powerful incentive in promoting EV adoption. To a substantial number of BEV owners, however, exemption from road tolling or bus lane access is the only decisive factor.Analyses show that there are clear delineations between incentive groups, both in terms of age, gender, and education. Income is a less prominent predictor, which probably results from the competitive price of BEVs in the Norwegian market. Perhaps most interesting is the assumed relation between incentives and character of transport systems the respondents engage in.     

A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications

The fact that electric vehicles (EVs) are characterized by relatively short driving range not only signifies the importance of routing applications to compute energy efficient or optimal paths, but also underlines the necessity for realistic simulation models to estimate the energy consumption of EVs. To this end, the present paper introduces an accurate yet computationally efficient energy consumption model for EVs, based on generic high-level specifications and technical characteristics. The proposed model employs a dynamic approach to simulate the energy recuperation capability of the EV and takes into account motor overload conditions to represent the vehicle performance over highly demanding route sections. To validate the simulation model developed in this work, its output over nine typical driving cycles is compared to that of the Future Automotive Systems Technology Simulator (FASTSim), which is a simulation tool tested on the basis of real-world data from existing vehicles. The validation results show that the mean absolute error (MAE) of cumulative energy consumption is less than 45 W h on average, while the computation time to perform each driving cycle is of the order of tens of milliseconds, indicating that the developed model strikes a reasonable balance between efficacy of representation and computational efficiency. Comprehensive simulation results are presented in order to exemplify the key features of the model and analyze its output under specific highly aggressive driving cycles for road gradients ranging from −6% to 6%, in support of its usability as a practical solution for estimating the energy consumption in EV routing applications.     

Market dynamics and indirect network effects in electric vehicle diffusion

The diffusion of electric vehicles (EVs) is studied in a two-sided market framework consisting of EVs on the one side and EV charging stations (EVCSs) on the other. A sequential game is introduced as a model for the interactions between an EVCS investor and EV consumers. A consumer chooses to purchase an EV or a conventional gasoline alternative based on the upfront costs of purchase, the future operating costs, and the availability of charging stations. The investor, on the other hand, maximizes his profit by deciding whether to build charging facilities at a set of potential EVCS sites or to defer his investments.The solution of the sequential game characterizes the EV-EVCS market equilibrium. The market solution is compared with that of a social planner who invests in EVCSs with the goal of maximizing the social welfare. It is shown that the market solution underinvests EVCSs, leading to slower EV diffusion. The effects of subsidies for EV purchase and EVCSs are also considered.     

大数据驱动的新能源汽车多维度安全预警建模方法研究

新能源汽车安全已是一个非常严峻的现实问题,直接影响到产业的未来与发展。综合阐述了基于大数据驱动的安全预警技术建模的方法学问题。从多个层次、多个维度讨论了安全预警的技术方法,重点分析提出了基于系统稳定性、相关性、一致性等累计风险模型与事故特征匹配追踪两大类模型。介绍稳态概率计算方法、累计风险计算方法、风险曲线识别方法。介绍了基于中心距、能量一致性的累计风险模型与应用情况,最后介绍一类全新的模式匹配识别模型:事故特征匹配追踪模型。总结提出了从微观定义安全、宏观预警安全、智能完善安全、数据保障安全一个比较完整的安全预警体系与方法。     

电动汽车高压电气系统安全性研究

介绍电动汽车高压电气系统结构,对高压电伤害进行分析,并对电动汽车高压电气系统在生产中的安全性进行研究,最后提出高压电系统安全性设计预防措施。     

电动汽车磷酸铁锂动力电池技术的发展

介绍磷酸铁锂动力电池在电动汽车发展中的重要作用,分析当前磷酸铁锂动力电池存在的关键技术问题,提出促进磷酸铁锂电池技术发展采取的措施。     

电动汽车用永磁同步牵引电动机设计

从电动汽车对牵引电机的要求、电机磁路结构、主要参数的选取等方面介绍了永磁同步牵引电动机的设计方法.样机试验结果证明了设计方法的正确性.