Approximate Stochastic Differential Dynamic Programming for Hybrid Vehicle Energy Management

被引：3
|
作者：
Williams, Kyle [1 ,3 ]
Ivantysynova, Monika [2 ]
机构：
[1] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47906 USA
[2] Purdue Univ, Sch Mech Engn, Maha Fluid Power Res Ctr, W Lafayette, IN 47906 USA
[3] Caterpillar Large Power Syst Div, Lafayette, IN 47905 USA
来源：
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 2019年 / 141卷 / 05期
关键词：
25;
D O I：
10.1115/1.4042253
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper develops a new computational approach for energy management in a hydraulic hybrid vehicle. The developed algorithm, called approximate stochastic differential dynamic programming (ASDDP) is a variant of the classic differential dynamic programming algorithm. The simulation results are discussed for two Environmental Protection Agency drive cycles and one real world cycle based on collected data. Flexibility of the ASDDP algorithm is demonstrated as real-time driver behavior learning, and forecasted road grade information are incorporated into the control setup. Real-time potential of ASDDP is evaluated in a hardware-in-the-loop (HIL) experimental setup.
引用
收藏
页数：9
相关论文
共 50 条
  • [1] Dynamic Energy Management for Hybrid Electric Vehicle Based on Approximate Dynamic Programming
    Li, Weimin
    Xu, Guoqing
    Wang, Zhancheng
    Xu, Yangsheng
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7864 - +
  • [2] Energy management strategy for series-parallel hybrid electric vehicle based on stochastic dynamic programming
    Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650093, China
    不详
    [J]. Xiao, R, 1600, SAE-China (35):
  • [3] Dynamic Energy Management for Hybrid Electric Vehicle Based on Adaptive Dynamic Programming
    Li, Weimin
    Xu, Guoqing
    Wang, Zhancheng
    Xu, Yangsheng
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-5, 2008, : 699 - +
  • [4] HYBRID DIFFERENTIAL DYNAMIC PROGRAMMING WITH STOCHASTIC SEARCH
    Aziz, Jonathan D.
    Parker, Jeffrey S.
    Englander, Jacob A.
    [J]. SPACEFLIGHT MECHANICS 2016, PTS I-IV, 2016, 158 : 635 - 649
  • [5] Implementation of comfort constraints in dynamic programming for hybrid vehicle energy management
    Debert, Maxime
    Padovani, Thomas Miro
    Colin, Guillaume
    Chamaillard, Yann
    Guzzella, Lino
    [J]. INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2012, 58 (2-4) : 367 - 386
  • [6] Analytic Solutions to the Dynamic Programming Subproblem in Hybrid Vehicle Energy Management
    Larsson, Viktor
    Johannesson, Lars
    Egardt, Bo
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, 64 (04) : 1458 - 1467
  • [7] Stochastic dynamic programming for the energy management of a serial hybrid electric bus
    Elbert, Philipp
    Widmer, Martin
    Gisler, Hans-Joerg
    Onder, Christopher
    [J]. INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2015, 69 (1-4) : 88 - 112
  • [8] RSM-Based Approximate Dynamic Programming for Stochastic Energy Management of Power Systems
    Zhuo, Yelin
    Zhu, Jianquan
    Chen, Jiajun
    Wang, Zeshuang
    Ye, Hanfang
    Liu, Haixin
    Liu, Mingbo
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (06) : 5392 - 5405
  • [9] Stochastic Energy Management of Active Distribution Network Based on Improved Approximate Dynamic Programming
    Zhu, Jianquan
    Chen, Jiajun
    Zhuo, Yelin
    Mo, Xiemin
    Guo, Ye
    Liu, Linpeng
    Liu, Mingbo
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (01) : 406 - 416
  • [10] An approximate dynamic programming approach for the vehicle routing problem with stochastic demands
    Novoa, Clara
    Storer, Robert
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 196 (02) : 509 - 515
12345