Study on Energy-Saving Driving Mode during Cornering for Motorized Wheels Driving Vehicle

2012 ◽  
Vol 203 ◽  
pp. 360-364
Author(s):  
Huan Huan Zhang ◽  
Guo Ping Yang

In order to study the energy consumption feature when cornering for motorized wheels driving vehicles, the resistance force on the driving axle was analyzed. A creative method quasi-neutral steering was proposed for vehicle cornering. A motorized wheels driving vehicle model was established, and the simulation of constant speed cornering was performed when the yaw rate as the parameter to control the front-rear torque distribution and the lateral acceleration as the parameter to control the left-right torque distribution. The results indicate that no wheel slipping is happened when quasi-neutral steering. The torque on the rear outer wheel is more than other wheels, and the torque on the outer wheels is more than inner wheels. The power consumption decreases 1.15% by quasi-neutral steering.

2018 ◽  
Vol 239 ◽  
pp. 01044 ◽  
Author(s):  
Victor Pevzner ◽  
Uriy Romen ◽  
Kirill Shapetko

The paper analyses international practices of energy saving for train traction. It describes methods that allow decrease of power consumption. Russian practices of energy consumption for train traction are reviewed, as well as methods for determining the power consumption related to condition of track layout geometry. Best practices of evaluation of impact of profile elevation unevenness to the train traction energy consumption are presented. The calculations that allow matching the data on track geometry before and after track maintenance works are performed, and the convictions concerning cost reduction for train traction energy saving are developed.


2012 ◽  
Vol 512-515 ◽  
pp. 2657-2661
Author(s):  
Zhi Jun Deng ◽  
Zhu Rong Dong

Handling dynamic model is established for the four-wheel independent steering electric vehicle (4WISEV) that has been developed by our research group. Handling dynamics simulation is conducted under Matlab environment with the parameters of the vehicle model, including the yaw rate, the lateral acceleration and the vehicle sideslip angle time domain and frequency domain characteristic simulation. Through analyzing the simulation results, it is indicated that, by adopting the feedforward control of the front steer angle and the feedback control of the yaw rate and vehicle speed which enable the vehicle sideslip angle to approximate zero, 4WISEV can effectively increase the handling stability of the vehicle and the tracking ability during steering process.


2013 ◽  
Vol 347-350 ◽  
pp. 899-903
Author(s):  
Yi He Gan ◽  
Lu Xiong ◽  
Yuan Feng ◽  
Felix Martinez

This paper studies the improvement of the handling performance of 4WD EV driven by in-wheel motors under regular driving conditions. Fundamentally the structure of torque vectoring control (TVC) system for handling control consists of two control layers. The upper layer is a model following controller which makes the vehicle follow the desired yaw rate limited by the side slip angle and lateral acceleration. The torque distribution constitutes the lower layer. Several simulations based on veDYNA/Simulink are conducted to verify the effectiveness of the control system. It is clarified that the control system exhibits satisfactory performance in both open and closed loop maneuvers and the agility of the electric vehicle is improved.


2014 ◽  
Vol 988 ◽  
pp. 564-567
Author(s):  
Ji Li ◽  
Jun Wei

Pulverizing system is the main energy-consumption equipment in coal-fired power plant, so it is of great significance to study energy-saving and optimization of pulverizing system. This paper first analyzes the situation and condition of pulverizing system in large-scale coal-fired power plant in China. According to analysis, coal mill and primary-air fan are the two main energy consumption facilities. Then their energy consumption characteristics, including power consumption and unit power consumption are studied. Subsequently, the energy-saving operation proposal for the pulverizing system is proposed.


Author(s):  
Hossam Ragheb ◽  
Moustafa El-Gindy ◽  
Hossam Kishawy

Multi-wheeled combat vehicles behavior depends not only on the available total driving torque but also on its distribution among the drive axles/wheels. In turn, this distribution is largely regulated by the drivetrain layout and its torque distribution devices. In this paper, a multi-wheeled (8×4) combat vehicle bicycle model has been developed and used to obtain the desired yaw rate and lateral acceleration to become reference for the design of the controllers. PID controllers were designed as upper and lower layers of the controllers. The upper controller develops the corrective yaw moment, which is the input to the lower controller to manage the independent torque distribution (torque vectoring) among the driving wheels. Several simulation maneuvers have been performed at different vehicle speeds using Matlab/Simulink-TruckSim to investigate the proposed torque vectoring control strategy. The simulation results with the proposed controller showed a significant improvement over conventional driveline, especially at severe maneuvers.


2018 ◽  
Vol 1 (2) ◽  
pp. 55-65
Author(s):  
Liwei Xu ◽  
Guodong Yin ◽  
Guangmin Li ◽  
Athar Hanif ◽  
Chentong Bian

Purpose The purpose of this paper is to investigate problems in performing stable lane changes and to find a solution to reduce energy consumption of autonomous electric vehicles. Design/methodology/approach An optimization algorithm, model predictive control (MPC) and Karush–Kuhn–Tucker (KKT) conditions are adopted to resolve the problems of obtaining optimal lane time, tracking dynamic reference and energy-efficient allocation. In this paper, the dynamic constraints of vehicles during lane change are first established based on the longitudinal and lateral force coupling characteristics and the nominal reference trajectory. Then, by optimizing the lane change time, the yaw rate and lateral acceleration that connect with the lane change time are limed. Furthermore, to assure the dynamic properties of autonomous vehicles, the real system inputs under the restraints are obtained by using the MPC method. Based on the gained inputs and the efficient map of brushless direct-current in-wheel motors (BLDC IWMs), the nonlinear cost function which combines vehicle dynamic and energy consumption is given and the KKT-based method is adopted. Findings The effectiveness of the proposed control system is verified by numerical simulations. Consequently, the proposed control system can successfully achieve stable trajectory planning, which means that the yaw rate and longitudinal and lateral acceleration of vehicle are within stability boundaries, which accomplishes accurate tracking control and decreases obvious energy consumption. Originality/value This paper proposes a solution to simultaneously satisfy stable lane change maneuvering and reduction of energy consumption for autonomous electric vehicles. Different from previous path planning researches in which only the geometric constraints are involved, this paper considers vehicle dynamics, and stability boundaries are established in path planning to ensure the feasibility of the generated reference path.


2019 ◽  
Vol 29 (3) ◽  
pp. 414-427
Author(s):  
Vladimir F. Kupryashkin ◽  
Aleksandr S. Ulanov ◽  
Nikolay I. Naumkin ◽  
Anatoliy V. Bezrukov ◽  
Michail G. Shlyapnikov

Introduction. Plowing the soil is a major operation in the cultivation of crops. It is one of the most labor-intensive operations in crop production, accounting for about 40 % of all energy costs. Most of these costs fall on consumed power, ensuring the effective functioning of the motor-block unit with a moldboard plow. Therefore, estimation of power consumed by motor-blocks is the urgent task. Materials and Methods. To solve the problem of determining the energy characteristics of the motor-block unit during plowing, a theoretical analysis was carried out, including values of torque, traction force on running wheels, resistance during their rolling and resistance force at the jointers-depleted plow, with the account for the geometry of the plowing unit based on the motor-block. Dependences of power consumption and specific energy consumption were obtained using the method described below. Results.As a result of our analysis of the power balance, we obtained dependences to find power consumption, as well as the specific energy intensity of plowing the soil with a motor-moldboard plow, which allowed for energy assessment of the functioning of the agricultural unit. Discussion and Conclusion. On the basis of these dependences of the required power and specific energy consumption, taking into account experimental data on interaction of the plow with the soil, design parameters and technological modes of operation of the agricultural unit consisting of motor unit Neva MB-2S-7,5 Pro and plow P1-20/3, were obtained to facilitate the choice of optimal modes of their functioning.


2021 ◽  
Vol 877 (1) ◽  
pp. 012014
Author(s):  
H M Hameed ◽  
A T Rashid ◽  
M T Rashid ◽  
K A Al Amry

Abstract For any mobile system there is especially advantageous from a business perspective to develop energy-saving techniques that also extend to existing production processes. Therefore, looking for ways to enhance the energy efficiency of robot operations to maximize energy consumption efficiency is of considerable significance, a route-planning issue that refers to finding the shortest path to meet the predetermined goal location in a certain complex environment. So, one of the energy saving methods for a multi-mobile robot environment is to find the optimal path for a mobile robot that can improve power consumption. In this paper, an optimal power algorithm for “automatic storage and retrieval system” using multi-mobile robots is introduced based on efficient motion planning among a group of multi-mobile robots that gives a significant improvement in the level of energy consumption. Energy mechanism can be achieved using electrical power quantities on real robots, models or analytical equations based on robots’ physical model. The simulation results indicate that the algorithm enhanced power consumption efficiency.


2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.


Author(s):  
Hui Yang ◽  
Anand Nayyar

: In the fast development of information, the information data is increasing in geometric multiples, and the speed of information transmission and storage space are required to be higher. In order to reduce the use of storage space and further improve the transmission efficiency of data, data need to be compressed. processing. In the process of data compression, it is very important to ensure the lossless nature of data, and lossless data compression algorithms appear. The gradual optimization design of the algorithm can often achieve the energy-saving optimization of data compression. Similarly, The effect of energy saving can also be obtained by improving the hardware structure of node. In this paper, a new structure is designed for sensor node, which adopts hardware acceleration, and the data compression module is separated from the node microprocessor.On the basis of the ASIC design of the algorithm, by introducing hardware acceleration, the energy consumption of the compressed data was successfully reduced, and the proportion of energy consumption and compression time saved by the general-purpose processor was as high as 98.4 % and 95.8 %, respectively. It greatly reduces the compression time and energy consumption.


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