Design of Dynamic Load for Test Bench Setup of Electric Vehicle Applications

Author(s):  
Sagar B. Pawar ◽  
Makarand M. Lokhande ◽  
B. Hemanth Kumar
Author(s):  
J. Jency Joseph ◽  
F.T. Josh ◽  
S. Leander Gilbert
Keyword(s):  

2014 ◽  
Vol 644-650 ◽  
pp. 943-946
Author(s):  
Shuai Mou ◽  
Zhi Ping Chen ◽  
En Dao Xu ◽  
Jia Lei Jin ◽  
Jing Tong

In order to testify the driving characteristics of 3m homemade steel-belt friction drive test bench, a data detection system under AT89C52 is developed.The system uses two photoelectric encoders as the speed testing unit and one weighing sensor as the strength testing unit.therefore.It is critical to both of them to be used on real time to detect properties,such as rotation speeds, direction, pre-tightening force and dynamic load and so on. It is tested that this system is stable which can record the date of pre-tightening force accurately with the error in the range of 1% and keep transmission accuracy with the error in the range of 0.5%.


Author(s):  
Du Guo ◽  
Xing Chen ◽  
Yanli Yin ◽  
Hui Liu

Overall, the electric vehicle transmission system shows an underdamped characteristic. Under changeable road conditions and high-frequency response for the motor, the resulting dynamic load environment may cause multiple failure modes, such as contact fatigue failure and bending fatigue fracture, for the transmission component, which limits the electric vehicle transmission component lifespan and system reliability. To reflect the dynamic load characteristics of the electric vehicle transmission system using a permanent magnet synchronous motor as a power source and accurately calculate the dynamic load of the transmission system, a high-speed helical gear-rotor-bearing coupling mechanical model for the electric vehicle transmission system was built based on simulating actual operation working conditions of the electric vehicle and considering the external load excitation caused by the Electromagnetic torque of the permanent magnet synchronous motor and vehicle driving resistant change as well as internal excitation caused by gear time-varying meshing rigidness and meshing error. Through simulation calculation of the mechanical model, the dynamic meshing force of the gear pair and dynamic contact force of the support bearing was obtained. Based on the Hertz contact theory, the stress-time history was obtained for the key parts, the rain flow counting method was adopted for the statistics collection and analysis of the stress-time history, and the fatigue load spectrum for various key parts of the transmission system was obtained. The result lays a foundation for the fatigue life prediction and reliability analysis for the pure electric vehicle transmission system.


2013 ◽  
Vol 401-403 ◽  
pp. 1255-1259
Author(s):  
Hui Zong Feng ◽  
Yun Gong You ◽  
Zhi Yu Huang ◽  
Zhi Liang Xian

In this paper, the test bench for electric vehicle drive system is designed and the real-time display of speed, torque, current, voltage and other conventional parameters are realized that can offer lots of authentic data for motor performance evaluation, motor parametric design and optimizing control strategy. Road simulation is an important function in the test bench, so the paper analyses the driving electric vehicle in the longitudinal and gives the theoretical dynamometer dynamic output load values that can provide the theory reference for the further implementation of road conditions simulation based on LabVIEW. Finally, in order to validate the test bench feasibility, the start, accelerated and deceleration tests are implemented and show good performance of the bench.


Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 1993 ◽  
Author(s):  
Zhe Wang ◽  
Haoliang Lv ◽  
Xiaojun Zhou ◽  
Zhaomeng Chen ◽  
Yong Yang

2020 ◽  
Vol 11 (2) ◽  
pp. 267-283
Author(s):  
Mingxi Bao ◽  
Xiangdong Ni ◽  
Xin Zhao ◽  
Shen Li

Abstract. To improve the HMCVT gear shifting smoothness of the self-propelled cotton picker, the quadratic orthogonal rotation test was carried out through the HMCVT test bench and control system with engine speed, clutch oil pressure, flow control valve, load torque, displacement ratio as the influencing factors while jerk, dynamic load coefficient, speed drop, weighted acceleration RMS, frictional work as the response indexes. The mathematical model between the response indexes and the influencing factors was established through the data processing software Design Expert 10. After the single factor and multi-factor experimental analyses, the parameters were optimized based on the response surface methodology to obtain the optimal parameters. The test was carried out on the HMCVT test bench with the optimized parameter combination. The engine output speed was 900 rpm, the clutch oil pressure was 3.5 MPa, the flow control valve was 4.9 L min−1, the load torque was 130 Nm and the displacement ratio was −0.93. The result was as follows: the jerk was 5.04 m s−3, the weighted acceleration RMS was 0.467, the speed drop was 20.32 rpm and the dynamic load coefficient was 12.16. This study provides reference for the smooth shifting of the self-propelled cotton picker, which is of a certain significance to promote the operation of the self-propelled cotton picker under multiple working conditions.


Sign in / Sign up

Export Citation Format

Share Document