博格华纳:助力车企灵活应对各种驱动技术

正随着新能源汽车技术在全球范围内不断升温,替代内燃机的电机开启了种类繁多的驱动结构方案。博格华纳的创新解决方案使汽车制造商能够灵活应对各种驱动技术。在2017上海车展中,博格华纳重点推介了面向48 V混合动力与纯电动应用领域设计的高端解决方案,包括一体化eDM电驱模块、eBooster~?电子驱动增压器以及适用于P2混合动力汽车的新型产品等创新     

驾驶循环对车辆能量经济性影响的研究

本文依据国内外具有代表性的不同驾驶循环对一实际的内燃机汽车和一构思的混合动力电动汽车的能量经济性进行了分析。研究了内燃机和电机的运行工况分布，并利用内燃机的万有特性图和电机及其控制系统的等效率曲线以及各驾驶循环的相关特性分析了产不同结果的原因。最后对内燃机汽车和混合动力电动汽车的能量经济性受驾驶循环的影响情况进行了比较和分析。     

半导体创新技术在新能源车上的应用 “英飞凌”在上海慕尼黑电子展上的诸多产品

传统内燃机驱动的汽车中,为了减排和提升燃油效率,半导体的应用越来越广泛;在电动汽车中,电机取代内燃机成为动力来源,在混合动力汽车中,电机只是作为内燃机的补充,而半导体的应用依旧不可或缺,且比重越来越大。无论采用何种模式的动力,功率半导体器件与汽车专业技术的有机结合,在保证汽车正常运行和节能减排方面都是至关重要的。     

节能环保型汽车碳活塞技术正式引入中国

湘潭电机集团有限公司首次研发出的XD6120混合动力电动城市客车集成了纯电动汽车、内燃机汽车的技术和优势，主要由混合动力电传动系统、电动辅助系统和车身等三大系统组成，采用1台小功率柴油发动机和l台变频调速感应异步电动／发电机作为动力，构成一套由2种动力组成的混合动力驱动系统，既可单独又可共同驱动车辆。     

混合动力汽车产业发展现状及趋势

混合动力汽车(Hybrid Electric Vehicle, HEV)结合了传统驱动系统和能量存储系统,利用内燃机和电机来驱动车辆,是传统汽车向纯电动汽车过渡的重要桥梁,在如今电动汽车全球大爆发的背景下,混合动力汽车将成为未来节能减排愿景的重要组成部分。文章探讨了近年来混合动力汽车产业的发展状况,介绍了几种新型的混合动力技术,对混合动力汽车的技术优势和不足进行了分析研究,指出了当前混合动力汽车产业面临的一些问题,并对未来混合动力汽车的发展进行了展望。     

并联混合动力汽车扭矩管理的模糊控制与仿真

并联混合动力汽车中内燃机和电机之间存在动力的耦合和分离过程,能量管理策略比较复杂。为了进一步合理分配内燃机和电机的动力输出,增强其能量管理策略的鲁棒性,文中分析了电辅助控制策略的不足,提出了基于模糊逻辑控制的包含驾驶员扭矩识别和蓄电池功率平衡的并联混合动力汽车扭矩分配策略,并利用ADVI SOR2002的仿真环境,完成了该模糊逻辑扭矩控制模块的仿真。结果表明,模糊逻辑控制策略满足控制目标,对提高汽车的动力性和燃油经济性、改善排放、保证蓄电池的充放电功率平衡有明显的作用。     

电动汽车电力驱动系统浅析(下)

(接上期)与传统的汽油机或柴油机汽车相比,混合动力汽车在动力结构和控制方面都有所不同。比如,丰田公司推出的混合动力系统采用了500～650V高压驱动电路、无级变速驱动桥、电机驱动的空调压缩机和电动冷却水泵等,这些新技术、新结构的综合运用,对维修技师进行混合动力汽车的正确保养、故障诊断和拆卸操作,提出了不同于传统内燃机汽车维修的要求。下面以丰田混合动力系统(简称HV系统)为例来介绍。     

混合动力汽车发展的必要性及关键技术分析

混合动力汽车综合了内燃机驱动式汽车及电动机驱动式汽车的二者优势,具有环保、节油的特点,得到了各国的广泛重视。文章主要阐述了混合动力汽车的发展现状,分析了混合动力汽车发展的必要性,并结合混合动力汽车应用的特点,分析了影响混合动力汽车性能的关键性技术。     

车载DC/DC变换器传导电磁干扰的抑制

从当前技术发展趋势来看,尽管纯电动汽车和燃料电池汽车更节能环保,但由于高成本、技术瓶颈和基础设施不足等因素制约,混合动力汽车(Hybrid Electric Vehicle,HEV)仍然是现阶段实现新能源汽车产业化的最佳选择。与传统内燃机汽车相比,混合动力汽车增加了动力电池、直流/直流(DC/DC)变换器、电机及其控制系统和能量管理系统等设备,并采用电动机和发动机作为动力装置,通过先进的控制系统使这2种动     

混合动力汽车技术基础知识(一)

<正>在汽车工业中,混合动力是指装备两种驱动类型(能量类型)和两个蓄能器的车辆,其特点是,针对这类解决方案组合使用元件,但是通过组合使用可以产生所要求的新特性。不同车辆制造商通常采用的这两种驱动类型组合,是以燃油箱和蓄电池作为能量来源的内燃机和电机组合为基础。混合动力总成的优点主要是耗油量较低,同时在内燃机的所有不利运行范围内电机可以为其提供支持。此外还可以对所     

混合动力电动汽车模糊逻辑控制策略的研究与仿真

以四川汽车工业集团野马混合动力电动汽车设计要求为基础,提出了一种混合动力电动汽车模糊逻辑控制策略。这种策略通过对油耗和各排放参数动态地分配权重值确定出发动机的最佳转矩,然后再根据模糊控制原理,以电池SOC值、汽车驱动需求的输出转矩和电动机转速为模糊输入确定出发动机的实际输出转矩,最终实现整车油耗和排放的综合优化。通过在S imu link软件中搭建该控制策略的仿真模型并与基础的电力辅助控制策略相比较,证明了这种控制策略有利于整车运行经济性和环保性的提高。     

Effect of regenerative braking energy on battery current balance in a parallel hybrid gasoline-electric vehicle under FTP-75 driving mode

In recent years, a hybrid electric vehicle (HEV) has been considered a successful technology. Especially, in case of a full HEV, the motor can drive the vehicle by itself at low velocity or assist the engine at high load. To improve the hybrid electric vehicle’s efficiency, a regenerative braking system is also applied to recover from kinetic energy. In this study, an experimental control apparatus was set up with a parallel hybrid electric vehicle mounted on a chassis dynamometer to measure ECU (engine control unit) and MCU (motor control unit) signals, including the current and state of charge in the battery. In order to analyze regenerative braking characteristics, user define braking driving cycle was introduced and carried out using different initial velocities and braking times. The FTP 75 driving cycle was then adapted under different initial SOC (state of charge) levels. The experiment data was analyzed in accordance with the vehicle velocity, battery current, instant SOC level, motor RPM, engine RPM, and then vehicle driving mode was decided. In case of braking driving cycle, it was observed that SOC were increased up to 1.5 % when the braking time and the velocidy were 6 second and 60 km/h, respectively. In addition, using the FTP 75 driving cycle, mode 1 was most frequently operated at SOC 65 conditions in phase 1. In phase 2, due to frequent stop-go hills, percentage of mode 1 was increase by 22 %. Eventually, despite of identity, it was shown that the characteristics of phase 3 differed from phase 1 due to the evanishment of the effects of initial SOCs.     

HEV发动机启停振动与噪声分析与控制

为降低混合动力汽车（HEV）发动机频繁启停引起的噪声与振动,提高乘坐舒适性,文章介绍了HEV的结构、驱动模式的特点以及发动机启停过程的噪声振动特点,分析了HEV的发动机启停过程产生的噪声与振动的根本原因,并提出了在此过程中噪声和振动源的控制措施,使HEV的发动机启停过程的噪声与振动得到降低,总结了HEV发动机启停的噪声与振动特性研究的发展趋势。     

电动轮驱动的混合动力汽车开发方案

分析了目前世界上典型的混合动力汽车动力总成方案,从结构模式、汽车性能以及具体布置型式3方面进行了详细地比较。提出了一种采用电动轮驱动的混合动力汽车开发方案,该方案基于某型轿车平台进行混合动力汽车的设计,动力总成采用ISG并联混合模式。同时在后轮安装2个轮毂电机,实现电动轮驱动模式。该技术开发方案,对电动轮技术以及混合动力开发技术的研究与发展具有十分重要的参考意义。     

Motor control of input-split hybrid electric vehicles

A motor control strategy for an input-split hybrid electric vehicle (HEV) is proposed. From a power characteristic analysis, it is found that the powertrain efficiency decreases for speed ratios at which power circulation occurs. Using dynamic models of an input-split HEV powertrain, a motor-generator control algorithm for obtaining high system efficiency is designed by inversion-based control. The performance of the control algorithm is evaluated by the simulator which is developed based on PSAT, and simulation results are compared with the test results. It is found that, even if the engine thermal efficiency is sacrificed by moving the engine operation point from the OOL for the control strategy, improved overall powertrain system efficiency can be achieved by the engine operation that gives a relatively high efficiency from the viewpoint of the overall powertrain efficiency. The control algorithm developed can be used in design of future electric vehicles.     

基于32位PowerPC555的车用电子控制器硬件设计

介绍一种基于高性能的32位单片机MPC555的发动机电子控制器(ECU)硬件系统设计,包括传感器及信号处理模块、控制单元及功率驱动模块。该电子控制器采用高性能的处理芯片、高集成度的信号处理模块和功率驱动模块,为建立可靠的控制系统、实现复杂的控制算法及扩展控制功能提供了坚实的硬件基础。     

燃料电池混合动力汽车动力系统匹配与优化研究

首先,基于中国客车典型循环工况对燃料电池混合动力系统进行匹配计算,确定了电动机、燃料电池发动机和蓄电池的基本参数;然后基于中国客车典型循环工况,建立燃料电池混合动力系统的优化模型,采用序列二次规划算法进行优化,分析了各种参数对整车燃料经济性的影响,包括燃料电池发动机与动力蓄电池之间的功率分配比、SOC的初始值与目标值、变速器传动比及传动比间隔以及主减速比等,为燃料电池混合动力汽车的构型提供指导。     

Control strategy for clutch engagement during mode change of plug-in hybrid electric vehicle

The plug-in hybrid electric vehicle (PHEV) has various driving modes used in both internal combustion engine and electric motors. The EV mode uses only an electric motor and the HEV mode uses both an engine and an electric motor. Specifically, when the PHEV of a pre-transmission parallel hybrid structure performs mode changing, its engine clutch is either engaged or disengaged, which is important in terms of ride comfort. In this paper, to enhance the mode changing process for the clutch engagement, a PHEV performance simulator is developed using MATLAB/Simulink based on system dynamics and experiment data. Vehicle driving analysis is carried out of the control logic and properties of the mode changing. A compensated torque is applied during the mode change. This results in the rapid speed synchronization with the clutch although the trade-off relationship of the mode change. In addition, the mode changing is conducted through the transmission shifting process to rapidly synchronize with speed. The control strategy implemented in this study is shown to improve the drivability and energy efficiency of a PHEV.     

混联式混合动力电动汽车动力总成的优化匹配与监控

提出一种根据所用监控策略,在大设计空间内搜寻混合动力电动汽车(HEV)多能源动力总成最优机电拓扑布局和机电匹配方案的一套方法,并由此构建了基于内燃机、电机等元件“可缩放”子模型,面向HEV动力总成的系统动力学仿真平台。利用该平台,对采用目标函数瞬时最优监控策略的混联式HEV动力总成进行机电优化匹配取得了满意效果。     

Analysis of a regenerative braking system for Hybrid Electric Vehicles using an Electro-Mechanical Brake

The regenerative braking system of the Hybrid Electric Vehicle (HEV) is a key technology that can improve fuel efficiency by 20∼50%, depending on motor size. In the regenerative braking system, the electronically controlled brake subsystem that directs the braking forces into four wheels independently is indispensable. This technology is currently found in the Electronic Stability Program (ESP) and in Vehicle Dynamic Control (VDC). As braking technologies progress toward brake-by-wire systems, the development of Electro-Mechanical Brake (EMB) systems will be very important in the improvement of both fuel consumption and vehicle safety. This paper investigates the modeling and simulation of EMB systems for HEVs. The HEV powertrain was modeled to include the internal combustion engine, electric motor, battery and transmission. The performance simulation for the regenerative braking system of the HEV was performed using MATLAB/Simulink. The control performance of the EMB system was evaluated via the simulation of the regenerative braking of the HEV during various driving conditions.