Durability Testing Method of a Hub-Reducer System Based on the Shanghai Standard Road Driving Cycle

被引:12
|
作者
Liu, Xintian [1 ,2 ]
Zheng, Songlin [1 ,3 ]
Chen, Tie [1 ]
Liang, Guoqing [1 ]
Feng, Jinzhi [1 ,3 ]
Ning, Xin [1 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Mech Engn, Shanghai 200093, Peoples R China
[2] Shanghai Univ Engn Sci, Coll Automot Engn, Shanghai 201620, Peoples R China
[3] Machinery Ind Key Lab Mech Strength & Reliabil Ev, Shanghai 200093, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
hub-reducer system; durability test; low-amplitude load strengthening; Shanghai standard road-driving cycle; CUMULATIVE FATIGUE DAMAGE; LOW-AMPLITUDE LOADS; LIFE PREDICTION; SERVICE LIFE; DESIGN; MODEL; BEHAVIOR; FAILURE; PLANS;
D O I
10.1520/JTE20140479
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Electric vehicles are equipped with electric-drive wheel systems, so the development of matching hub reducers with proper durability is important. Based on the Shanghai standard road-driving cycle, this paper forecasts the load spectrum for key components of the hub-reducer system. After considering the material strengthening under low-amplitude loads, the reducer system running-in test specification is issued. This paper also develops an electric-drive system durability test specification on the basis of the Miner linear cumulative damage theory, and estimates the hub-reducer durability mileage. The bench test for durability shows that the first round of the prototype design satisfied the durability mileage required, and the bending-fatigue strength of the gear is sufficiently reliable, which gives possibilities for further lightweight designs. This method can be applied for the lightweight designing of other key automotive components. It also provides empirical evidence for developing automotive products that meet the standard road-driving-cycle conditions.
引用
收藏
页码:665 / 678
页数:14
相关论文
共 8 条
  • [1] Lightweight design of gears in the wheel-side reducer based on Shanghai road driving cycle
    Ning, Xin
    Zheng, Songlin
    Wang, Yahui
    Feng, Jinzhi
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2019, 233 (06) : 1586 - 1600
  • [2] Study on the Design Method of Driving Cycle with Road Grade based on Markov Chain Model
    Yue, Bingjian
    Shi, Shuming
    Lin, Nan
    Guo, Ping
    Li, Zhenlei
    Zhang, Zhiwu
    2015 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2015,
  • [3] Constructing representative driving cycle for heavy duty vehicle based on Markov chain method considering road slope
    Jia, Xinyi
    Wang, Hewu
    Xu, Liangfei
    Wang, Qing
    Li, Hang
    Hu, Zunyan
    Li, Jianqiu
    Ouyang, Minggao
    ENERGY AND AI, 2021, 6
  • [4] Comparison of Particle Mass and Solid Particle Number (SPN) Emissions from a Heavy-Duty Diesel Vehicle under On-Road Driving Conditions and a Standard Testing Cycle
    Zheng, Zhongqing
    Durbin, Thomas D.
    Xue, Jian
    Johnson, Kent C.
    Li, Yang
    Hu, Shaohua
    Huai, Tao
    Ayala, Alberto
    Kitteson, David B.
    Jung, Heejung S.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (03) : 1779 - 1786
  • [5] Construction Method for Reliability Test Driving Cycle of Electric Vehicle Drive System Based on Users' Big Data
    Zhao L.
    Wang Z.
    Feng J.
    Zheng S.
    Ning X.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2021, 57 (14): : 129 - 140
  • [6] Particle Swarm Optimization and Real-Road/Driving-Cycle Analysis Based Powertrain System Design for Dual Motor Coupling Electric Vehicle
    Ma, Chao
    Jin, Shiwei
    Yang, Kun
    Tan, Di
    Gao, Jie
    Yan, Dechao
    WORLD ELECTRIC VEHICLE JOURNAL, 2020, 11 (04) : 1 - 16
  • [7] Comparison of Particle Mass and Solid Particle Number (SPN) Emissions from a Heavy-Duty Diesel Vehicle under On-Road Driving Conditions and a Standard Testing Cycle (vol 48, pg 1779, 2014)
    Zheng, Zhongqing
    Durbin, Thomas D.
    Xue, Jian
    Johnson, Kent C.
    Li, Yang
    Hu, Shaohua
    Huai, Tao
    Ayala, Alberto
    Kittelson, David B.
    Jung, Heejung S.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (05) : 3093 - 3093
  • [8] Real-Time Evaluation Method of Heavy-Duty Diesel Vehicle SCR System Based on Ammonia Storage Characteristics in Real-Road Driving Emission Test
    Lei, Yan
    Liu, Chenxi
    Guo, Dongdong
    Yang, Jianglong
    Qiu, Tao
    Peng, Guangyu
    APPLIED SCIENCES-BASEL, 2022, 12 (21):