The paper presents a method of calculating the full load engine characteristics based on the Leiderman–Khlystov relation. Because the values of the coefficients of the discussed function available in literature were ...The paper presents a method of calculating the full load engine characteristics based on the Leiderman–Khlystov relation. Because the values of the coefficients of the discussed function available in literature were determined for obsolete engine designs, an attempt was made to update them. To this end, a chassis dynamometer was used where a database of results had been built for a variety of vehicles. Following the data collection, the coefficients for variety of fueling system(six groups: fuel injected gasoline and turbocharged gasoline, spark ignition LPG Ⅰ–Ⅱ and Ⅳ generation, naturally aspirated diesel and turbocharged diesel) were determined. The identification of the coefficients was carried out in Matlab-Simulink indicating the applicability of the said function for most of the engines, yet the recent popularity of turbocharged gasoline engines requires an additional analysis of the possibility of use of a different functional description. The full load engine characteristics is a basis for the vehicle performance characteristics and, further, for modeling of traffic in a variety of aspects of the vehicle operation.展开更多
为准确模拟桥址随机车流荷载,提出基于可变元胞与跟驰理论的元胞自动机(cellular automata,CA)模型。首先,重新定义元胞构成,提出以车辆为核心的动态可变元胞,并将精确的轴间距和轴重信息融入车辆元胞,实现车辆荷载的精确模拟;然后,引...为准确模拟桥址随机车流荷载,提出基于可变元胞与跟驰理论的元胞自动机(cellular automata,CA)模型。首先,重新定义元胞构成,提出以车辆为核心的动态可变元胞,并将精确的轴间距和轴重信息融入车辆元胞,实现车辆荷载的精确模拟;然后,引入跟驰理论,提出基于跟驰理论的状态演化规则,推导每辆车的专有加速度,实现车辆微观交互的模拟;最后,提出基于实测动态称重系统(weigh in motion,WIM)数据的发车规则,依据WIM数据,重构任意时段的实际车队,并建立基于车头时距的发车规则,重现车辆通过WIM时的运动状态。基于所提出的发车规则和动态演化规则,实现车辆从进入道路到驶离道路全过程时空位置的准确模拟,结合融入精确轴载的车辆元胞,实现随机车流荷载的模拟。基于实测WIM数据验证所提模型的可行性和先进性。结果表明:可变元胞可以精确模拟车辆荷载;提出的状态演化规则可以根据不同车辆的运动状态计算得到每辆车的专属加速度,准确模拟每辆车在自由行驶和跟驰行驶时的不同运动状态;新发车规则可以重构任意时段的实测车队,结合新状态演化规则,可以实现桥址任意时段随机车流的模拟。结合精细化车辆荷载模拟和合理的车流模拟,可实现桥址随机车流荷载模拟。展开更多
基金carried out within work no.S/WM/1/2018 realized at Bialystok University of Technologyfinanced from the funding allocated fo science by the Ministry of Science and Higher Education—Poland
文摘The paper presents a method of calculating the full load engine characteristics based on the Leiderman–Khlystov relation. Because the values of the coefficients of the discussed function available in literature were determined for obsolete engine designs, an attempt was made to update them. To this end, a chassis dynamometer was used where a database of results had been built for a variety of vehicles. Following the data collection, the coefficients for variety of fueling system(six groups: fuel injected gasoline and turbocharged gasoline, spark ignition LPG Ⅰ–Ⅱ and Ⅳ generation, naturally aspirated diesel and turbocharged diesel) were determined. The identification of the coefficients was carried out in Matlab-Simulink indicating the applicability of the said function for most of the engines, yet the recent popularity of turbocharged gasoline engines requires an additional analysis of the possibility of use of a different functional description. The full load engine characteristics is a basis for the vehicle performance characteristics and, further, for modeling of traffic in a variety of aspects of the vehicle operation.
文摘为准确模拟桥址随机车流荷载,提出基于可变元胞与跟驰理论的元胞自动机(cellular automata,CA)模型。首先,重新定义元胞构成,提出以车辆为核心的动态可变元胞,并将精确的轴间距和轴重信息融入车辆元胞,实现车辆荷载的精确模拟;然后,引入跟驰理论,提出基于跟驰理论的状态演化规则,推导每辆车的专有加速度,实现车辆微观交互的模拟;最后,提出基于实测动态称重系统(weigh in motion,WIM)数据的发车规则,依据WIM数据,重构任意时段的实际车队,并建立基于车头时距的发车规则,重现车辆通过WIM时的运动状态。基于所提出的发车规则和动态演化规则,实现车辆从进入道路到驶离道路全过程时空位置的准确模拟,结合融入精确轴载的车辆元胞,实现随机车流荷载的模拟。基于实测WIM数据验证所提模型的可行性和先进性。结果表明:可变元胞可以精确模拟车辆荷载;提出的状态演化规则可以根据不同车辆的运动状态计算得到每辆车的专属加速度,准确模拟每辆车在自由行驶和跟驰行驶时的不同运动状态;新发车规则可以重构任意时段的实测车队,结合新状态演化规则,可以实现桥址任意时段随机车流的模拟。结合精细化车辆荷载模拟和合理的车流模拟,可实现桥址随机车流荷载模拟。
