Economic value and utility of a powertrain system for a plug-in parallel diesel hybrid electric bus

被引:7
|
作者
Suh, B. [4 ]
Frank, A. [4 ]
Chung, Y. J. [3 ]
Lee, E. Y. [2 ]
Chang, Y. H. [1 ]
Han, S. B. [1 ]
机构
[1] Induk Univ, Dept Mech & Automot Engn, Seoul 139749, South Korea
[2] Kunsan Natl Univ, Dept Econ, Jeonbuk 573701, South Korea
[3] Daegu Mirae Coll, Dept Automot Engn, Gyeongbuk 712716, South Korea
[4] Univ Calif Davis, Dept Mech & Aeronaut Engn, Davis, CA 95616 USA
关键词
Plug-in parallel diesel hybrid electric bus; Powertrain system; State of charge (SOC); Exhaust emission; Thermal efficiency; Energy flow optimization; VEHICLES;
D O I
10.1007/s12239-010-0067-4
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This research is the first to develop a design for a powertain system of a plug-in parallel diesel hybrid electric bus equipped with a continuously variable transmission (CVT) and presents a new design paradigm of the plug-in hybrid electric bus (HEB). The criteria and method for selecting and sizing powertrain components equipped in the plug-in HEB are presented. The plug-in HEB is designed to overcome the vulnerable limitations of driving range and performance of a purely electric vehicle (EV) and to improve fuel economy and exhaust emissions of conventional bus and conventional HEBs. The control strategy of the complicated connected propulsion system in the plug-in parallel HEB is one of the most significant factors in achieving higher fuel economy and lower exhaust emissions of the HEV. In this research, a new optimal control strategy concept is proposed against existing rule-based control strategies. The optimal powertrain control strategy is obtained through two steps of optimizations: tradeoff optimization for emission control and energy flow optimization based on the instantaneous optimization technique. The proposed powertrain control strategy has the flexibility to adapt to battery SOC, exhaust emission amount, classified driving pattern, driving condition, and engine temperature. The objective of the optimal control strategy is to optimize the fuel consumption, electricity use, and exhaust emissions proper to the performance targets. The proposed control strategy was simulated to prove its validity by using analysis simulation tool ADVISOR (advanced vehicle simulator).
引用
收藏
页码:555 / 563
页数:9
相关论文
共 50 条
  • [31] A learning method for energy optimization of the plug-in hybrid electric bus
    Yong Sun
    Zheng Chen
    BingJie Yan
    SiXiong You
    [J]. Science China Technological Sciences, 2015, 58 : 1242 - 1249
  • [32] Research on Dual Motor Drive System of Plug-in Hybrid Powertrain
    Zhao, Ziliang
    Zhao, Guoyu
    Yu, Jitai
    Fu, Yifan
    Zhao, Honghui
    Yang, Xingwang
    [J]. 2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 1062 - 1068
  • [33] A learning method for energy optimization of the plug-in hybrid electric bus
    SUN Yong
    CHEN Zheng
    YAN BingJie
    YOU SiXiong
    [J]. Science China Technological Sciences, 2015, (07) : 1242 - 1249
  • [34] A learning method for energy optimization of the plug-in hybrid electric bus
    Sun Yong
    Chen Zheng
    Yan BingJie
    You SiXiong
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2015, 58 (07) : 1242 - 1249
  • [35] A learning method for energy optimization of the plug-in hybrid electric bus
    SUN Yong
    CHEN Zheng
    YAN BingJie
    YOU SiXiong
    [J]. Science China(Technological Sciences), 2015, 58 (07) : 1242 - 1249
  • [36] Hardware-in-loop Simulation of Energy Management System for Plug-in Hybrid Electric Bus
    Han, Yang
    Peng, Jian-Kun
    He, Hong-Wen
    [J]. 2016 INTERNATIONAL CONFERENCE ON MECHANICS DESIGN, MANUFACTURING AND AUTOMATION (MDM 2016), 2016, : 558 - 563
  • [37] Efficiency improvement of a novel dual motor powertrain for plug-in hybrid electric buses
    Cong Thanh Nguyen
    Walker, Paul D.
    Zhang, Nong
    Ruan, Jiageng
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2020, 234 (07) : 1869 - 1882
  • [38] The Value of Plug-In Hybrid Electric Vehicles as Grid Resources
    Sioshansi, Ramteen
    Denholm, Paul
    [J]. ENERGY JOURNAL, 2010, 31 (03): : 1 - 23
  • [39] Real-time predictive control strategy for a plug-in hybrid electric powertrain
    Taghavipour, Amir
    Azad, Nasser L.
    McPhee, John
    [J]. MECHATRONICS, 2015, 29 : 13 - 27
  • [40] Shifting Control Algorithm for a Single-Axle Parallel Plug-In Hybrid Electric Bus Equipped with EMT
    Yang, Yunyun
    Wu, Sen
    Fu, Xiang
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2014, 2014 : 1 - 11