Energy recovery based on pedal situation for regenerative braking system of electric vehicle

ABSTRACT

Energy recovery is a key technology to improve energy efficiency and extend driving range of electric vehicle. It is still a challenging issue to maximise energy recovery. We present an energy recovery mode (mode A) which recovers braking energy under all situations that accelerator pedal (AP) is lifted, brake pedal (BP) is depressed, as well as AP and BP are released completely; and propose a control strategy of regenerative braking based on driver's intention identified by a fuzzy recognition method. Other two modes: (1) recovery braking energy only the BP is depressed (mode B), (2) no energy recovery, have been studied to compare with mode A. Simulations are carried out on different adhesion conditions. Recovered energy and driving range are also obtained under FTP75 driving cycle. Road test is implemented to validate simulation results. Results show that mode A can improve energy recovery by almost 15.8% compared with mode B, and extend driving range by almost 8.81% compared with mode B and 20.39% with the mode of no energy recovery; the control strategy of regenerative braking can balance energy recovery and braking stability. The proposed energy recovery mode provides a possibility to achieve a single-pedal design of the electric vehicle.     

Control effects of steer-by-wire system for motorcycles on lane-keeping performance

This study discusses the control effects of the steer-by-wire (SBW) system for motorcycles on the lane-keeping performance by examining computer simulation with a rider-vehicle system which consists of a simplified vehicle model, a rider control model and the controller of the SBW system. The SBW system, which compensates the rolling angle deviation between the desired rolling angle intended by the rider and the actual rolling angle, improves the lane-keeping performance of the rider-vehicle system under the steering torque disturbance. The SBW system is, on the other hand, not effective in the lane-keeping performance under the lateral force disturbance. In addition, the lane-keeping assistance (LKA) system is applied to the SBW system and the cooperativeness of the SBW and the LKA systems is examined. The LKA system improves the lane-keeping performance of the SBW system under not only the steering torque disturbance but also the lateral force disturbance.     

预调质处理对商用车后桥半轴疲劳性能影响的研究

针对中碳非调质钢后桥半轴和预调质处理的42CrMoH钢后桥半轴进行了半轴表面硬化层微观组织结构和疲劳性能对比试验研究。试验结果表明,预调质处理对后桥半轴组织细化、晶界钉扎和形核过程产生不利影响,使疲劳性能恶化;非调质钢后桥半轴的静态扭转强度和疲劳强度均比预调质处理后桥半轴显著提高,其中疲劳寿命提高1倍以上。指出,取消调质处理工艺,可节约能耗,降低生产成本。     

攻击性驾驶行为选择模型及影响因素敏感度分析

基于行为学理论和非集计方法,以160名驾驶人为研究对象,确定了影响驾驶人攻击性驾驶行为选择的影响因素变量及取值方法,建立了攻击性驾驶行为选择模型（多项Logit模型）。运用弹性值理论进行各变量对攻击性驾驶选择行为的影响程度与过程敏感度分析;最后选取58名驾驶人的驾驶行为数据进行计算,验证模型的有效性。结果表明：驾驶人人格和其他车辆违法情况2个因素对驾驶人攻击性驾驶行为影响较大,起决定性作用;该模型计算值与量表判定值相对误差在10%左右,模型精度可满足实际使用要求。     

深圳市桂庙路南海立交选型的探讨

立交设计是城市道路中的重要内容。该文结合桂庙路南海立交选型设计,简要分析立交选型的原则,方式方法。     

电动汽车轮边驱动系统驱动方式与特点分析

文章简要介绍了电动汽车轮边驱动系统的驱动形式,分析了轮边驱动系统与传统汽车驱动系统相比的优势与不足,并对其未来发展趋势进行了预测。     

组合式深水施工平台设计与施工

为解决码头陡坡裸岩区域的稳桩问题,开展了深水平台稳桩工艺研究,通过理论计算和实践解决了平台结构设计、稳桩临时加固以及稳桩施工中的定位、提升、稳固、沉桩等技术问题,为同类型地质条件的稳桩工艺提供参考依据。     

大直径钢管桩吊打工艺沉桩技术运用

近年来,港口工程中大直径钢管桩的使用越来越普遍,但由于该类桩基施工需配备大型船舶设备,所需施工作业水域较大,很少在内河水域使用。介绍了在上海国际客运中心"小港池连接活动钢桥工程中",如何在狭小施工作业面进行大直径钢管桩沉桩的施工情况,分析了工程概况和难点,介绍了施工工艺的确定,施工准备和施工方法,有一定参考价值。     

钢板桩施工中锤型的选择及动力沉桩分析

结合八所港老港区1#~4#泊位改造工程,深入探讨了钢板桩的动力打入及振动沉桩机理,分别采用应力波动方程分析法和振型叠加法对该工程使用的U型单根钢板桩及组合式钢板桩进行了动力沉桩分析,并将计算分析结果与工程实测数据进行了对比。研究表明,动力打桩导致土体发生塑性流动或挤密侧移,而振动沉桩则使土体出现振动液化;应用有限差分法求解波动方程可以有效地模拟动力打桩过程,应用振型叠加法求解运动方程可以有效地模拟振动沉桩过程。     

Driving analytics using smartphones: Algorithms,comparisons and challenges

The present work investigates the use of smartphones as an alternative to gather data for driving behavior analysis. The proposed approach incorporates i. a device reorientation algorithm, which leverages gyroscope, accelerometer and GPS information, to correct the raw accelerometer data, and ii. a machine-learning framework based on rough set theory to identify rules and detect critical patterns solely based on the corrected accelerometer data. To evaluate the proposed framework, a series of driving experiments are conducted in both controlled and “free-driving” conditions. In all experiments, the smartphone can be freely positioned inside the subject vehicle. Findings indicate that the smartphone-based algorithms may accurately detect four distinct patterns (braking, acceleration, left cornering and right cornering) with an average accuracy comparable to other popular detection approaches based on data collected using a fixed position device.