电动汽车驱动电机选配方法

介绍了电动汽车用电机的基本性能,并从汽车行驶动力学出发建立了纯电动汽车用电动机性能参数的数学模型,探讨总结了对电机基本特性参数的初步确定原则。然后以目前所要开发的一辆纯电动汽车的基本参数及目标性能要求为例,按以上原则确定出电机参数并绘制符合要求的电机性能曲线,为电机的快速选择和后续车辆动力传动系统匹配优化提供了依据。     

电动汽车复合驱动系统

电动汽车的复合驱动系统包括内燃机驱动和电力驱动，它综合了这两种驱动方式的优点。介绍了电动汽车的各种复合驱动结构，分析讨论了这些结构的优缺点，阐述了选择串联还是并联复合驱动结构时应考虑了主要问题，并给了一个单轴复合驱动结构的实例。     

电动汽车能量回馈的整车控制

以4种典型循环工况为例对电动汽车进行能量分析，设计了基于常规汽车制动系统的整车能量回馈控制方式，研究了控制策略，完成了车辆道路试验与标定优化。试验表明，整车能量回馈控制方式与控制策略安全、可靠，且柔顺性良好；利用能量回馈技术，蓄电池能量消耗可减少10％，能有效延长电动汽车的一次充电续驶里程。     

电动助力转向系统的技术发展趋势

电动助力转向系统已经获得了比较广泛的应用.从扭矩传感器、电机、ECU等方面,论述了电动助力转向系统硬件的发展趋势;从舒适性功能、安全性功能方面,论述了电动助力转向系统软件的发展趋势;从结构、工作原理、功能、可靠性方面,介绍了未来助力转向系统--线控转向系统.     

混合动力电动汽车的发展

混合动力电动汽车是当今解决汽车节能与排污问题的有效途径，本文阐述混合动力电动汽车的不同型式和特点，以及目前混合动力电动汽车的发展现状，指出发展混合动力电动汽车必须解决的关键技术问题。     

解放牌CA1111P1K2L7型柴油载货汽车起动系统电路故障诊断与排除

解放牌CA1111P1K2L7型柴油载货汽车起动系统电路中增设了DK238型电源总开关和断油电磁铁，该装置具有电源电路和起动电路的保护作用，介绍了该起动系统电路的结构及工作原理，以及该电路的常见故障与诊断。     

Stress intensity factor measurement of cracks using piezoelectric element

A stress intensity factor (SIF) measurement method for cracks using a piezoelectric element and an electrostatic voltmeter is presented. In this method, an isotropic piezoelectric element is first attached near the tip of the crack. Then surface electrodes are attached to three different positions on the piezoelectric element. The electric potentials of the surface electrodes, which are proportional to the sum of the stress ( _x + _y ) on the structural member, are measured by an electrostatic voltmeter during load cycling. The mode I and mode II SIFs of the crack are estimated using the relationship between the SIF and ( _x + _y ). The applicability of the proposed method is examined through experiments and numerical analysis.     

Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach

Vehicle electrification is a promising approach towards attaining green transportation. However, the absence of charging stations limits the penetration of electric vehicles. Current approaches for optimizing the locations of charging stations suffer from challenges associated with spatial–temporal dynamic travel demands and the lengthy period required for the charging process. The present article uses the electric taxi (ET) as an example to develop a spatial–temporal demand coverage approach for optimizing the placement of ET charging stations in the space–time context. To this end, public taxi demands with spatial and temporal attributes are extracted from massive taxi GPS data. The cyclical interactions between taxi demands, ETs, and charging stations are modeled with a spatial–temporal path tool. A location model is developed to maximize the level of ET service on the road network and the level of charging service at the stations under spatial and temporal constraints such as the ET range, the charging time, and the capacity of charging stations. The reduced carbon emission generated by used ETs with located charging stations is also evaluated. An experiment conducted in Shenzhen, China demonstrates that the proposed approach not only exhibits good performance in determining ET charging station locations by considering temporal attributes, but also achieves a high quality trade-off between the levels of ET service and charging service. The proposed approach and obtained results help the decision-making of urban ET charging station siting.     

Real-time model predictive control of connected electric vehicles

ABSTRACT

Electric Vehicles (EVs) motors develop high torque at low speeds, resulting in a high rate of acceleration with the added advantage of being fitted with smaller gearboxes. However, a rapid rise of torque in EVs fitted with central drive powertrains can create undesired torsional oscillations, which are influenced by wheel slip and flexibility in the halfshaft. These torsional oscillations in the halfshaft lead to longitudinal oscillations in the vehicle, thus creating problems with regard to comfort and drivability. The significance of using wheel slip in addition to halfshaft torsion for design of anti-jerk controllers for EVs has already been highlighted in our previous research. In this research, we have designed a look-ahead model predictive controller (LA-MPC) that calculates the required motor torque demand to meet the dual objectives of increased traction and anti-jerk control. The designed LA-MPC will improve drivability and energy consumption in connected EVs. The real-time capability of the LA-MPC has been demonstrated through hardware-in-the-loop experiments. The performance of the LA-MPC has been compared to other controllers presented in the literature. A validated high-fidelity longitudinal-dynamics model of the Rav4EV, which is the test vehicle of our research has been used to evaluate the controller.     

城市轨道交通单向导通装置智能消弧研究

介绍轨道交通单向导通装置常用的2种消弧方式:放电间隙消弧和大功率GTO消弧。放电间隙消弧的方式存在受环境影响大,无法精确控制导通的缺点;大功率GTO消弧的方式可以精确控制导通,但是无法可控关断,导致单向导通装置长期反向导通,不利于杂散电流防护。因此,提出一种可控关断GTO智能消弧型单向导通装置,对其触发导通、关断过程及等效电路进行分析,可实现单向导通装置的可控可靠关断,避免单向导通装置长期反向导通,完善设备功能。