Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

Electric vehicles use electric motors, which turn electrical energy into mechanical energy. As electric motors are conventionally used in all the industry, it is an established development site. It’s a mature technology with ideal power and torque curves for vehicular operation. Conventional vehicles use oil and gas as fuel or energy storage. Although they also have an excellent economic impact, the continuous use of oil and gas threatened the world’s reservation of total oil and gas. Also, they emit carbon dioxide and some toxic ingredients through the vehicle’s tailpipe, which causes the greenhouse effect and seriously impacts the environment. So, as an alternative, electric car refers to a green technology of decarbonization with zero emission of greenhouse gases through the tailpipe. So, they can remove the problem of greenhouse gas emissions and solve the world’s remaining non-renewable energy storage problem. Pure electric vehicles (PEV) can be applied in all spheres, but their special implementation can only be seen in downhole operations. They are used for low noise and less pollution in the downhole process. In this study, the basic structure of the pure electric command vehicle is studied, the main components of the command vehicle power system, namely the selection of the drive motor and the power battery, are analyzed, and the main parameters of the drive motor and the power battery are designed and calculated. The checking calculation results show that the power and transmission system developed in this paper meets the design requirements, and the design scheme is feasible and reasonable.

Implementation of Dynamic System Control Circuit Board Test System of Pure Electric Vehicles

The dynamic system control circuit board(DSCCB)is one of the most important components for dynamic system of pure electric vehicles. The current detection of the DSCCB is done manually, which is not only inefficient in the detection but also difficult to guarantee the data accuracy. In order to improve the detection efficiency and accuracy, a new testing system is designed by Labview. The total test time can be further reduced by about 75% compared with the results of the manual detection. In this paper, the three-parameter sine wave curve-fit algorithm theory is applied to the phase delay detection of the current sensor sampling circuit on the DSCCB. This method solves the problem of big error in the phase delay detection.

Optimum Driving System Design for Dual-Motor Pure Electric Vehicles

A pure electric vehicle driven by dual motors is taken as the research object and the driving scheme of the driving motor is improved to increase the transmission efficiency of existing electric vehicles.Based on the architecture of the transmission system,we propose vehicle performance parameters and performance indexes of a pure electric vehicle,a time-sharing driving strategy of dual motors.First,the parameters of the battery,motor,and transmission system are matched.Then,the electric vehicle transmission model is built in Amesim and the control strategy is designed in Simulink.With the optimization goal of improving the vehicle’s dynamic performance and driving range,the optimal parameters are determined through analysis.Finally,the characteristics of the motor are tested on the bench.The results show that the energy-saving potential of the timesharing driven double motor is higher,and the driving mileage of the double motor drive is increased by 4%.

Plug-In Vehicle Acceptance and Probable Utilization Behaviour

This paper presents a study undertaken to understand the plug-in vehicle acceptance and probable utilization behaviour in terms of charging habits and utility factor (probability of driving in electrical mode). A survey was designed to be answered via World Wide Web, throughout 3 months and only accessible to Portuguese inhabitants. The survey was composed by biographical and car ownership info, mobility patterns, awareness toward plug-in vehicle technologies, price premium and, finally, potential buyer’s attitudes regarding charging vehicles with electricity from the grid. An explanation of how each vehicle technology works in the case of a regular hybrid (HEV), a plug-in hybrid (PHEV) and a pure electric vehicle (EV) was provided. A total sample of 809 volunteers answered the survey, aged above 18 years old, 50% male and 50% female. The results allowed the estimation of the typical daily driving distance, the Utility Factor curve for plug-in hybrid future users, the charging preferences for future users of pure electric or plug-in hybrid vehicles and the necessary feebates to promote the market penetration of such technologies. Other correlations were also analyzed between driving patterns, type of owned car, price premium and the willingness to buy pure electric and plug-in hybrid vehicles. The main policy implications are that an increase of awareness campaigns is necessary if the government intends to support the plug-in electric vehicle technology widespread and a minimum of 5000 € investment per ton of avoided CO2 will be necessary in a year.

某纯电驱动重载车辆能耗预测模型

高精度能耗预测模型是准确预测车辆续驶里程的重要前提。针对载荷大幅度变化且非结构化道路运行的纯电驱动重载车辆,建立其组合能耗模型,该模型由能耗计算基本模型与长短时记忆(Long Short-Term Memory,LSTM)神经网络差值修正两部分组成。基于能量流动过程驱动电机和变速器效率建模,结合汽车行驶动力学建立能耗计算基本模型;采用LSTM神经网络来修正基本模型能耗预测结果与车辆典型工况功率测试值的差值,有效提高了大幅变载荷且低信噪比坡度环境下的车辆能耗预测精度,因此组合能耗模型具有参数简单和模型拟合不需解释能耗规律的优点。经试验测试分析,与VT-Micro能耗模型和径向基(Radial Basis Function,RBF)神经网络能耗模型相比,所提组合能耗模型的功率预测平均误差率分别降低了17.76%和3.35%,能够实现纯电驱动重载车辆复杂工况下能耗的准确实时预测。

Parameters optimum matching of pure electric vehicle dual-mode coupling drive system

As an important development direction of pure electric vehicle drive system,the distributed drive system has the advantages of compact structure,high transmission efficiency,and flexible control,but there are some serious problems such as high performance requirements to the drive motors,complex control strategies,and poor reliability.To solve these problems,a two motors dual-mode coupling drive system has been developed at first,which not only has the capacity of two-speed gear shifting,but also can automatically switch between the distributed drive and the centralized drive by means of modes change control.So,the performance requirements to the drive motors can be reduced,the problem of abnormal running caused by the fault of unilateral distributed drive systems also can be resolved by replacing the drive mode with centralized drive.Then,the system parameters primary and the optimum matching under the principle of efficiency optimization have been carried out,which makes the drive system achieve predetermined functions and meet the actual demands of different operating statuses.At last,the economic comparison of a pure electric vehicle installation with a dual-mode coupling drive sytem,a single-motor centralized drive system or a dual-motor distributed drive system in the simulation conditions has been completed.Compared with other systems,the driving range of the electric vehicle driven by the designed system is significantly increased,which proves the better efficiency and application value of the system.

电动汽车制动能量循环回收智能控制仿真

为提高纯电动汽车的续航能力,保证车辆稳定行驶,提出一种纯电动车辆的制动能量回收控制方法。从多个角度分析纯电动汽车在行驶过程中的能量变动情况,考虑驱动力需要克服的相关阻力,根据车辆各部件的工作效率以及电池充电情况,计算车辆驱动消耗实际电量。分析纯电动汽车制动过程中的动力学以及路面的摩擦因子对制动产生的影响,明确汽车制动时产生的能量损失和影响能量回收的相关因素。为了获得最大的再生能量,在能量回收控制中,以制动的方式进行能量补偿,并将更多的动能用于动力发电机,达到制动能量的回收循环。仿真结果表明,所研究方法对制动能量的回收控制效果较好,回收利用率较为理想。

纯电动汽车电驱动系统故障诊断研究进展

为全面梳理纯电动汽车电驱动系统故障诊断的发展现状,明确未来发展趋势,本文首先介绍了纯电动汽车电驱动系统的基本架构、功能及发展历程;然后详细总结了纯电动汽车电驱动系统关键部件的故障类型及原因,分析了纯电动汽车电驱动系统关键部件故障诊断方法的主要研究现状;接着将诊断方法从专家知识驱动、模型驱动、信号驱动和数据驱动4个方面详细综述了纯电动汽车电驱动系统国内外研究进展和发展动态,并针对不同方法的优缺点进行了对比;最后对纯电动汽车电驱动系统故障诊断所面临的问题及发展方向进行了分析和展望,进一步讨论并指出未来纯电动汽车电驱动系统故障诊断研究可以集中在变工况耦合故障诊断、微小故障诊断和前期故障诊断研究、实时在线故障诊断、基于故障诊断的智能运维、未知故障诊断与系统自愈技术等方面。

运用改进鲸鱼算法优化纯电动汽车再生制动模糊控制策略

为了提高纯电动汽车再生制动能量回收效率,同时保证车辆制动效果,提出了运用改进鲸鱼算法优化纯电动汽车再生制动模糊控制策略。引入电池荷电状态(State of Charge,SOC)、车速和制动强度作为模糊控制输入,以再生制动比例系数K作为输出,利用改进鲸鱼算法优化控制参数,从而提高前轴电机制动力占比。同时,改进鲸鱼算法的自适应权重避免了算法迭代过程中陷入局部最优。通过仿真分析验证了在NEDC工况下,优化后的模糊控制策略相比优化前和传统控制策略在提高能量回收效果的同时,也满足了制动的有效性。

基于PSO-IBP神经网络的纯电动汽车电驱总成故障诊断

为了提高纯电动汽车电驱总成的故障诊断准确率,提出了一种基于粒子群优化(Particle Swarm Optimizing,PSO)算法的改进BP(Improved Back Propagation,IBP)神经网络(PSO-IBP)故障诊断方法。应用线性整流单元(Rectified Linear Unit,ReLU)作为BP神经网络的激活函数,通过粒子群优化算法对BP神经网络权值和阈值进行动态寻优,构建PSO-IBP模型。通过采集纯电动汽车电驱总成故障数据,分别对PSO-IBP神经网络模型、BP神经网络模型和概率神经网络(Probabilistic Neural Network,PNN)模型进行训练与仿真,结果表明,相比于BP神经网络方法及概率神经网络方法,基于PSO-IBP神经网络模型的纯电动汽车电驱总成故障诊断方法具有更高的准确率。

开关磁阻电驱动系统机电控协同设计

提出一种高性能开关磁阻电驱动系统的高效正向协同设计方法,来提高开关磁阻电驱动系统的功率密度,同时降低汽车在典型循环行驶工况下的损耗。首先,建立开关磁阻电机动态转矩模型和径向力模型;然后,建立开关磁阻电机损耗模型,并结合齿轮传动系统损耗模型形成电驱动系统损耗模型,用于典型循环行驶工况下电驱动系统损耗的计算。最后,以机械、电气和控制参数为协同设计变量,以系统的循环行驶工况损耗、质量和转矩波动与径向力脉动为优化目标,采用了双层嵌套优化方法进行优化设计。基于上述方法对12/8级开关磁阻电驱动系统进行优化设计,经协同优化设计后的开关磁阻电驱动系统总质量减轻了19.76%;CLTC-P典型循环工况的系统总损耗减少了42.45%;系统综合效率提升7.66%。

Pareto排序遗传算法及响应面优化在纯电车电池壳体参数设计的工程应用

为解决三元锂电池壳厚重与应力集中的问题。本文利用拉丁超立方法对变密度拓扑优化后参数抽样,利用了Pareto排序多目标遗传算法,选择应力等作为目标函数进行迭代计算。本文利用克里格空间插值法得到各响应图谱以及初步预测的优化方案。基于上述结果利用Design-Expert建立了62组响应面数学模型,计算所得帕累托最优为70%,p-value≤0.0001,证明响应面模型的准确性,经仿真计算优化后的结构较原模型各方面性能都有所提升,具有较好的可靠性。

Experimental study on heat generation and dissipation performance of PEV Lithium-ion battery

Based on the lithium-ion battery pure electric vehicle （PEV） application, two capacity types of batteries are applied in thermal characteristic experiments. With the experimental comparison method, battery thermal characteristics and heat generation mechanism are studied. Experiments of batteries in cases of different dimensions, batteries with different air cooling velocity and two capacity types of batteries in free convection environment are put forward. Battery heat generation performance, heat dissipation performance and comparison of different capacity types＇ batteries are researched and summarized. Conclusions of battery heat generation and dissipation in PEV applications, important battery thermal management factors and suggestions are put forward.

纯电动商用车集成驱动桥质量对操纵稳定性影响规律的研究

为研究集成式电驱动桥纯电动商用车的操纵稳定性,利用Adams/Car建立了车企某集成式电驱动桥纯电商用车整车模型,采用国标试验方法与评价指标分别进行了蛇形试验、方向盘角阶跃试验和方向盘角脉冲试验的仿真实验,分析了方向盘输入曲线和横摆角速度变化曲线及非簧载质量对整车操纵稳定性的影响规律。研究结果表明,汽车侧向加速度峰值、横摆角速度峰值随着电动集成驱动装置质量的增加而增大,簧下质量每增加100 kg,蛇形试验工况下的最终得分降低0.915%,方向盘角阶跃试验最终得分降低0.32%,获得了非簧载质量对操纵稳定性影响的具体规律。

纯电动汽车电驱系统用油发展趋势及研究进展

我国新能源汽车发展迅猛。在集成化、轻量化的趋势下,电动汽车已将减速箱、电机和电控系统集成为电驱系统。随着工况变化,市场对润滑油的性能要求也发生了改变。文章重点阐述了电驱系统的发展趋势,初步探讨了电驱系统用油必须具备的电学性能、热学性能、铜腐蚀性能、抗摩擦特性、剪切稳定性、氧化安定性、抗泡沫性能以及材料兼容性等。

含电动汽车和热电联产的区域微电网参与电网辅助服务调度

如今,在发达的特大城市,越来越多的分布式电源和电动汽车接入微电网。该文提出一个区域微电网,由一个热电联供系统和一系列插电式电动汽车组成。其主要目的是通过将PEV整合为快速响应存储来提供辅助服务和充分利用可再生能源提高系统的能源利用率和经济效益。停车场会聚集形成电力电子设备集群,并与CHP签订双边合同,以便能够参与调节电力市场。提出改进的乌鸦算法,对问题进行求解。通过MATLAB对算法进行数值仿真表明,如果区域微电网参与电力市场调控,每兆瓦的经济价值显著提高,总利润增加。

某纯电动车电液制动系统振动噪声问题的测试分析与改进

随着汽车电动化、智能化和无人驾驶技术的深入发展,线控制动技术被大量广泛地应用于新能源纯电动车型,而市场用户对制动过程的舒适性要求越来越高。因此,如何快速解决整车的制动NVH问题,如何提高线控制动系统的集成水平,这是困扰目前新能源汽车制动系统设计开发的技术难题。以某纯电动汽车制动踏板抖动与异响问题为研究背景,系统地阐述测试排查过程,识别分析出潜在的激励源与传动路径;探讨液压系统产生流致振动噪声的潜在机理,提出具体的工程控制方法;并通过制动能量回收策略方法的优化,通过实车驾评和测试验证该措施方案的有效性。研究成果对于提升新能源汽车制动NVH问题的解决能力和正向集成开发有着较重要的工程指导价值。

纯电动装载机坡道防溜策略

根据纯电动装载机传动系统特性,基于装载机运行参数和行走电动机控制器上传至整车控制器的转矩和转速,制定了坡道防溜控制策略.由整车控制器确定纯电动装载机进入防溜模式的条件,并采用比例-积分(proportional-integral,PI)算法计算防溜模式时下发至行走电动机控制器的目标转矩,使装载机可在无踏板动作时稳定在坡上.基于Simulink搭建纯电动装载机坡道防溜控制算法模型,使用Simulink自动代码生成技术生成可应用于整车控制器的程序并进行试验验证及参数优化,使用装载机在坡上停车和坡上起步阶段的溜车距离分析坡道防溜效果.结果表明:所制定的坡道防溜策略在各坡度坡道上可有效驻坡;坡度为30%时,装载机在坡上停车的最大溜车距离为8.0 cm,在坡上起步的最大溜车距离为4.0 cm,可满足安全驻坡要求.

燃油车和纯电车混杂智能网联队列系统的节能与稳定控制

提出了一种燃油汽车和纯电动汽车混杂的异构智能网联队列系统节能策略与稳定控制方法。考虑了异质车辆动力学特征、通讯时滞和外界干扰等多重不利因素对队列稳定性的影响,建立了异质车辆队列非线性系统动力学模型和能耗模型;基于能耗成本和后退动态规划方法,推导出了单车经济车速;依据所提出的节能型车间距策略,构建了状态跟踪误差系统;基于连续时间域分布式鲁棒控制方法,给出了在干扰和信息时滞下的队列系统稳定判据。对包含4辆跟随车的混杂队列系统进行仿真测试。结果表明:在保持队列系统稳定的前提下,4辆跟随车辆节能效果分别提高1.90%、1.25%、19.11%和12.22%。

基于整车模型的PEV理想横摆角速度确定方法

四轮独立驱动的纯电动汽车(Pure Electric Vehicle,PEV)的理想横摆角速度确定方法不同于传统汽车。为了使电子稳定程序(Electronic Stability Program,ESP)控制系统介入的时机更为恰当,提高车辆对驾驶员意图的响应性能以及避免系统介入不适当对驾驶员正常行驶意图的干扰,针对一种由4个轮毂电机独立驱动的PEV,在线性二自由度模型确定车辆理想横摆角速度的基础上,利用Matlab/Simulink建立七自由度整车模型,考虑不同路面附着系数和各轮垂直载荷的影响,提出了适用于四轮独立驱动PEV理想横摆角速度的修正算法。通过对固定前轮转向角的纯电动汽车在纯路面、对接路面以及分离路面上理想横摆角速度随车速变化的仿真结果进行分析,得出了PEV理想横摆角速度的变化规律,为四轮独立驱动PEV理想横摆角速度的确定提供了理论基础。