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汽车在行驶过程中,驾驶员在突发情况进行紧急制动时有时会出现误踩把加速踏板的行为,使得车辆出现急加速情况,加剧突发事故的后果,存在重大的事故隐患。针对此危险情况,本文提出了一种防误踩加速踏板的智能系统。该系统通过利用线位移传感器实时采集油门踏板变化率,当油门踏板变化率超过ECU中所设定的阈值时,ECU将自动开启制动系统对车辆进行制动,保证车辆的驾驶安全性。实际试验结果表明,本系统在误踩油门踏板达到设定阈值时能够自动开启车辆制动系统,避免事故的发生。 相似文献
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文章针对手动挡汽车的加速踏板安全性能不良的现状,在不改变驾驶员操作习惯的基础上,对原有的离合器踏板和加速踏板提出了一个改进方案。该方案的思路是:利用摩擦片实现加速踏板的自锁,利用离合器与加速踏板的联动实现加速踏板的被动复位。改进后的加速踏板可以缩短紧急制动时间,减少紧急制动情况下驾车人误踩加速踏板的概率,使驾驶变得更安全、更省心。 相似文献
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<正>一、汽车安全加速踏板的研究意义在汽车高速发展的今天,交通事故也随之不断地上升,其中,据相关统计显示,因误踩加速踏板所造成的侧面碰撞、追尾碰撞等交通事故约占事故发生率的12.6%。在这些交通事故中,这类车祸产生的原因有相当一部分是由于驾驶员在应对突发危险时,临危处置不当所致。驾驶员在驾驶车辆过程中,错误地把加速踏板视作制动踏板进行制动,从而导致了事故的发生。在这类事故中,驾驶员对汽车操控技术不熟练是引发该事故发 相似文献
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《汽车与安全》2021,(3)
驾驶人误踩加速踏板导致的电动客车交通事故时有发生,影响因素复杂。为准确识别误踩加速踏板行为,提醒电动客车驾驶人安全驾驶,基于电动客车车载终端采集的车辆运行状态数据,提取9项与误踩加速踏板行为相关的驾驶特征,采用随机森林算法模型对电动客车误踩加速踏板状态进行识别,结果表明整体的识别准确率为99%,召回率为0.99,表明99%的误踩加速踏板行为可被识别出来。实验表明采用随机森林算法进行误踩加速踏板状态识别具有较好的效果,且与逻辑回归、Adaboost等识别算法相比,具有准确率、召回率和精确率高等特点。该方法利用电动客车的运行数据进行分析,简单高效成本低,具有一定的可行性和实用性。 相似文献
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故障现象:向右打转向后猛一踩加速踏板,底盘会发出“嘣”的一声。
故障诊断:经试车发现,异响好像来自左侧,如果向右转向时不猛踩加速踏板,异响不出现,直行时加速或紧急制动也没有异响。由此分析异响可能是由于转向加速时车轮受到较大的侧向力,该力传导到悬挂系统、转向系统和车身时,某两个机件发生干涉,碰在一起产生异响,当直行或转向时不猛踩加速踏板,车轮受到的侧向力比较小,这两个机件之间仍保持着安全的距离,不发生干涉,所以没有异响。 相似文献
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针对部分实习驾驶员在紧急情况下误将油门踏板当制动踏板急踩的现象,提出加装防误踩油门装置的设计构想,并通过实车运行验证其可行性。 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(3):301-337
According to European regulations, if the amount of regenerative braking is determined by the travel of the brake pedal, more stringent standards must be applied, otherwise it may adversely affect the existing vehicle safety system. The use of engine or vehicle speed to derive regenerative braking is one way to avoid strict design standards, but this introduces discontinuity in powertrain torque when the driver releases the acceleration pedal or applies the brake pedal. This is shown to cause oscillations in the pedal input and powertrain torque when a conventional driver model is adopted. Look-ahead information, together with other predicted vehicle states, are adopted to control the vehicle speed, in particular, during deceleration, and to improve the driver model so that oscillations can be avoided. The improved driver model makes analysis and validation of the control strategy for an integrated starter generator (ISG) hybrid powertrain possible. 相似文献
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为了提高滑行能量回收经济性和踏板制动安全性、舒适性,基于交通信息,提出了电动汽车(EV)制动协调策略。分析了滑行制动的经济性,由交通信息和汽车行驶状态确定滑行制动强度;由道路信息和前方车辆信息建立汽车安全距离模型和碰撞预警策略,利用预警信息对滑行制动和踏板制动强度进行协调。对本策略进行仿真验证。结果表明:利用交通信息的滑行策略,在通行良好工况下综合能耗减少1.1%,拥堵工况下减轻驾驶员的制动疲劳;预警和协调策略避免了频繁预警,减小了紧急避撞触发几率。因此,利用交通信息能够辅助驾驶员进行更加合理的制动。 相似文献
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《JSAE Review》2002,23(4):435-441
The vehicle acceleration performance, the accelerator pedal controllability etc. have influence on the engine sound evaluation besides the sound level and quality. Subjective evaluation of the engine sound by the design of experiments was conducted with a driving simulator. As a result, the effects of the vehicle performance and the accelerator pedal controllability for the engine sound evaluation were measured quantitatively. It became clear that these factors could improve both “quiet feeling” and “sporty feeling” which show the evaluation of engine sound. 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(1):144-173
ABSTRACTEnergy 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. 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(10):1233-1253
Previously, a new control concept called ‘G-vectoring control (GVC)’ to improve vehicle agility and stability was developed. GVC is an automatic longitudinal acceleration control method that responds to vehicle lateral jerk caused by the driver's steering manoeuvres. In this paper, a new yaw-moment control method, which generates a stabilising moment during the GVC command and has positive acceleration value and the driver's accelerator pedal input is zero, was proposed. A new hybrid control, which comprises GVC, electric stability control and this new control, was constructed, and it was installed in a test vehicle and tested on a snowy surface. The very high potential for improvement in both agility and stability was confirmed. 相似文献
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C. -H. Lee J. -M. Lee M. -S. Choi C. -K. Kim E. -B. Koh 《International Journal of Automotive Technology》2011,12(2):193-198
Since the invention of automobiles, the need to know the braking performance of vehicles has been acknowledged. However, because
there are numerous design variables as well as nonlinearities in the braking system, it is difficult to predict the performance
accurately. In this paper, a computational program is developed to estimate the braking performance numerically. This synthetic
braking performance program accounts for pedal force, pedal travel and deceleration of braking parts, such as master cylinder,
booster, valve, brake pad, rotor, and hoses. To improve the accuracy of program, a semi-empirical model of a braking system
is introduced by using the empirical test data of pad compression, hose expansion and the friction coefficient between the
pad and rotor. The accuracy of the estimation is evaluated by comparing it to the actual vehicle test results. The developed
program is easy for the brake system engineers to manipulate and it can be used in the development of new vehicles by incorporating
the graphical presentations. 相似文献