scholarly journals Look-ahead gear-shifting strategy on ramps for heavy trucks with automated mechanical transmission

2019 ◽  
Vol 11 (1) ◽  
pp. 168781401882291
Author(s):  
Xiao-yan Cong ◽  
Yong-gang Zhang ◽  
Chun-peng Wang ◽  
Hong-xuan Zhu ◽  
Zeng-cai Wang
Keyword(s):  
Dynamic Programming ◽  
Economic Performance ◽  
Dynamic Performance ◽  
Dynamic Programming Method ◽  
Mechanical Transmission ◽  
The Road ◽  
Shift Schedule ◽  
Look Ahead ◽  
Shifting Strategy ◽  
Shift Point

Look-ahead information has been applied to vehicle shift systems and has led to the development of innovative changes in shifting strategies. A shifting strategy significantly influences the dynamic and economic performance of a truck. If a shift control system can predict the information of the road ahead, then the dynamic programming method can be used to obtain an optimal shift schedule, thereby achieving the best balance between the dynamic and the economic performance of a truck. Determining the weights of the economic and dynamic performance of a truck is critical in dynamic programming. Weight is related to road slope value; hence, this study uses different weights on 3%, 5%, and 10% ramp simulation experiments to investigate the relationship between fuel consumption and running time and to determine the optimum weight for different slopes. On the basis of the optimal shift schedule obtained via dynamic programming, the ramp information of the road ahead can be utilized to adjust the shift point to avoid unnecessary shifting before entering the slope and reduce shift times on a ramp. An actual truck test shows that the anthropomorphic shifting strategy proposed in this study meets driver expectations and is conducive to the ramp driving of trucks with automated manual transmission.

scholarly journals Optimizing Gear Shifting Strategy for Off-Road Vehicle with Dynamic Programming

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Xinxin Zhao ◽  
Wenming Zhang ◽  
Yali Feng ◽  
Yaodong Yang
Keyword(s):  
Dynamic Programming ◽  
Fuel Consumption ◽  
Convex Surface ◽  
Initial Conditions ◽  
Dynamic Performance ◽  
Road Vehicle ◽  
Vehicle Simulation ◽  
Trip Time ◽  
Road Profile ◽  
Shifting Strategy

Gear shifting strategy of vehicle is important aid for the acquisition of dynamic performance and high economy. A dynamic programming (DP) algorithm is used to optimize the gear shifting schedule for off-road vehicle by using an objective function that weighs fuel use and trip time. The optimization is accomplished through discrete dynamic programming and a trade-off between trip time and fuel consumption is analyzed. By using concave and convex surface road as road profile, an optimal gear shifting strategy is used to control the longitudinal behavior of the vehicle. Simulation results show that the trip time can be reduced by powerful gear shifting strategy and fuel consumption can achieve high economy with economical gear shifting strategy in different initial conditions and route cases.

Research on Drive Mode for an Independent Eight In-Wheel Motor Drive Vehicle

2014 ◽  
Vol 472 ◽  
pp. 327-332
Author(s):  
Wen Jiao Liang ◽  
Jun Qiu Li
Keyword(s):  
Economic Performance ◽  
Control Strategy ◽  
Dynamic Performance ◽  
Motor Drive ◽  
Drive Mode ◽  
The Road ◽  
Wheel Drive ◽  
Driving Condition ◽  
Integrated Performance ◽  
Four Wheel Drive

This paper describes a control strategy of drive modes switch for an independent eight in-wheel motor drive vehicle. There are three drive modes, and they are eight-wheel drive with ASR mode, eight-wheel drive mode and four-wheel drive mode. The control strategy is designed to improve the integrated performance of the vehicle, such as safety, dynamic performance and economic performance, but the previous research can only improve one of them. When the road adhesion coefficient is very small, the vehicle will drive in eight-wheel drive with ASR mode to ensure the vehicles safety, when the driver torque demand is very big, the vehicle will drive in eight-wheel mode to get better dynamic performance and when the driver torque demand is very small, the vehicle drive in four-wheel mode to get better economic performance. The vehicle switches among the three modes according to the driving condition. Simulations of the new control strategy were carried out on two different driving conditions. The results showed that an improvement in safety or economic performance was achieved with the control strategy.

Modeling and Analysis of Three-Parameter Power Shift Schedule for Pure Electric Bus of AMT

2012 ◽  
Vol 155-156 ◽  
pp. 648-652
Author(s):  
Li Peng Luo ◽  
Jun Qiang Xi ◽  
Xing Long Liu ◽  
Yu Hui Hu
Keyword(s):  
Dynamic Performance ◽  
Mechanical Transmission ◽  
Vehicle Speed ◽  
Vehicle Model ◽  
Slope Surface ◽  
Modeling And Analysis ◽  
Shift Schedule ◽  
Power Shift ◽  
Electric Bus ◽  
Two Parameter

The design of shift schedule is of great importance for the drivability of vehicular automatic mechanical transmission. Currently, the most widely used is two-parameter shift schedule, but it ignores the influence of dynamic conditions and ramp conditions. In this paper, a three-parameter power shift schedule based on vehicle speed, acceleration and throttle angle has been proposed, which makes the vehicle have the best performance in all kinds of slope surface. Then the vehicle model is established by Cruise and Matlab/simulink. The simulation results show that the three-parameter power shift schedule can effectively enhance the vehicle dynamic performance.

A fuzzy evaluation method of road vehicle automatic weighing instrument in dynamic force metrological performance

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Dynamic Force ◽  
Fuzzy Evaluation ◽  
Road Vehicle ◽  
Evaluation Standard ◽  
The Road ◽  
Metrological Performance

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

scholarly journals Single-Manufacturer Multi-Retailer Supply Chain Models with Discrete Stochastic Demand

2021 ◽  
Vol 13 (15) ◽  
pp. 8271
Author(s):  
Yaqing Xu ◽  
Jiang Zhang ◽  
Zihao Chen ◽  
Yihua Wei
Keyword(s):  
Dynamic Programming ◽  
Supply Chain ◽  
Computational Complexity ◽  
Stackelberg Game ◽  
Programming Model ◽  
Dynamic Programming Method ◽  
Game Model ◽  
Chain Model ◽  
Stochastic Demands ◽  
Demand Models

Although there are highly discrete stochastic demands in practical supply chain problems, they are seldom considered in the research on supply chain systems, especially the single-manufacturer multi-retailer supply chain systems. There are no significant differences between continuous and discrete demand supply chain models, but the solutions for discrete random demand models are more challenging and difficult. This paper studies a supply chain system of a single manufacturer and multiple retailers with discrete stochastic demands. Each retailer faces a random discrete demand, and the manufacturer utilizes different wholesale prices to influence each retailer’s ordering decision. Both Make-To-Order and Make-To-Stock scenarios are considered. For each scenario, the corresponding Stackelberg game model is constructed respectively. By proving a series of theorems, we transfer the solution of the game model into non-linear integer programming model, which can be easily solved by a dynamic programming method. However, with the increase in the number of retailers and the production capacity of manufacturers, the computational complexity of dynamic programming drastically increases due to the Dimension Barrier. Therefore, the Fast Fourier Transform (FFT) approach is introduced, which significantly reduces the computational complexity of solving the supply chain model.

scholarly journals Initializing the EM Algorithm for Univariate Gaussian, Multi-Component, Heteroscedastic Mixture Models by Dynamic Programming Partitions

2018 ◽  
Vol 15 (03) ◽  
pp. 1850012 ◽  
Author(s):  
Andrzej Polanski ◽  
Michal Marczyk ◽  
Monika Pietrowska ◽  
Piotr Widlak ◽  
Joanna Polanska
Keyword(s):  
Dynamic Programming ◽  
Mixture Models ◽  
Recursive Algorithm ◽  
Dynamic Programming Method ◽  
Mixture Distributions ◽  
Gaussian Mixtures ◽  
Scoring Functions ◽  
Initial Values ◽  
The Em Algorithm

Setting initial values of parameters of mixture distributions estimated by using the EM recursive algorithm is very important to the overall quality of estimation. None of the existing methods are suitable for heteroscedastic mixtures with a large number of components. We present relevant novel methodology of estimating the initial values of parameters of univariate, heteroscedastic Gaussian mixtures, on the basis of dynamic programming partitioning of the range of observations into bins. We evaluate variants of the dynamic programming method corresponding to different scoring functions for partitioning. We demonstrate the superior efficiency of the proposed method compared to existing techniques for both simulated and real datasets.

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