Receding horizon control-based energy management for plug-in hybrid electric buses using a predictive model of terminal SOC constraint in consideration of stochastic vehicle mass

模型预测控制 控制理论(社会学) 约束(计算机辅助设计) 数学优化 能源管理 分段 终端(电信) 随机建模 拉丁超立方体抽样 计算机科学 随机规划 随机控制 工程类 能量(信号处理) 最优控制 数学 控制(管理) 蒙特卡罗方法 数学分析 统计 人工智能 机械工程 电信
作者
Hongqiang Guo,Silong Lu,Hong-zhong Hui,Chunjiang Bao,Jinyong Shangguan
出处
期刊:Energy [Elsevier BV]
卷期号:176: 292-308 被引量:26
标识
DOI:10.1016/j.energy.2019.03.192
摘要

The factor of stochastic vehicle mass can greatly affect the optimality of energy management for plug-in hybrid electric buses. However, current studies usually take the vehicle mass as constant, which is inevitably far away from reality. This paper responds to this problem by investigating a receding horizon control (RHC)-based energy management together with a predictive model of terminal state of charge (SOC) constraint. The predictive model can reinforce the local feature of the terminal SOC constraint, by a piecewise nonlinear regression model considering the stochastic vehicle mass. Especially, the stochastic vehicle mass is designed as stochastic variable at each road segment (the route between neighbored bus stops), and Optimal Latin Hypercube Design algorithm is deployed to sample and probe the design space constituted by the stochastic variables. Besides, the predictive model is constructed by partial least squares method, based on the sampled design space and corresponding optimal SOCs from dynamic programming. Simulation results show that the proposed predictive model is reasonable and can optimally predict the terminal SOC constraint at every receding horizon. Furthermore, although the fuel economy of the RHC strategy is worse than the DP strategy, it can be improved by 5.29% at least, compared to the rule-based strategy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
李物发布了新的文献求助20
1秒前
quhayley应助樊珩采纳,获得10
4秒前
zhi发布了新的文献求助10
4秒前
Nikola完成签到 ,获得积分10
4秒前
5秒前
英吉利25发布了新的文献求助10
5秒前
8秒前
9秒前
N型半导体发布了新的文献求助10
10秒前
小二郎应助wwpedd采纳,获得30
10秒前
QIU关闭了QIU文献求助
10秒前
回家睡觉发布了新的文献求助30
11秒前
凶狠的惜海完成签到,获得积分20
11秒前
12秒前
媛桃子完成签到 ,获得积分10
12秒前
英姑应助孟古采纳,获得10
15秒前
LCW发布了新的文献求助10
15秒前
薄荷花完成签到,获得积分10
16秒前
领导范儿应助Ronnie采纳,获得10
16秒前
木头人应助白衣轻叹采纳,获得10
16秒前
共享精神应助lalala采纳,获得10
17秒前
18秒前
爆米花应助wyt采纳,获得10
19秒前
西西完成签到,获得积分20
20秒前
李爱国应助joinn采纳,获得10
20秒前
橙子完成签到,获得积分10
21秒前
西西发布了新的文献求助10
23秒前
熬夜大王发布了新的文献求助10
23秒前
23秒前
25秒前
25秒前
雪梨关注了科研通微信公众号
26秒前
26秒前
量子星尘发布了新的文献求助10
27秒前
clientprogram应助Run采纳,获得20
28秒前
Ronnie发布了新的文献求助10
28秒前
华仔应助RUSTY采纳,获得10
30秒前
薛之谦发布了新的文献求助10
31秒前
皮皮发布了新的文献求助10
31秒前
32秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
Comparison of adverse drug reactions of heparin and its derivates in the European Economic Area based on data from EudraVigilance between 2017 and 2021 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3952383
求助须知:如何正确求助?哪些是违规求助? 3497737
关于积分的说明 11088744
捐赠科研通 3228363
什么是DOI,文献DOI怎么找? 1784838
邀请新用户注册赠送积分活动 868913
科研通“疑难数据库(出版商)”最低求助积分说明 801303