Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus

The heavy computational burden associated with the application of the traditional DP strategy to the energy management of range-extended electric buses poses a serious problem. On the basis of one Chinese typical urban bus driving cycle, an optimal control strategy is designed according to the SOC c...

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Main Authors: Xiaogang Wu, Jingfu Chen, Chen Hu
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/624649
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spelling doaj-830da6848eb84ce38482b15756d1d0c82020-11-25T00:31:03ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/624649624649Dynamic Programming-Based Energy Management System for Range-Extended Electric BusXiaogang Wu0Jingfu Chen1Chen Hu2College of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin, ChinaCollege of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin, ChinaCollege of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin, ChinaThe heavy computational burden associated with the application of the traditional DP strategy to the energy management of range-extended electric buses poses a serious problem. On the basis of one Chinese typical urban bus driving cycle, an optimal control strategy is designed according to the SOC consumption trend, which is optimized by the DP algorithm. The dissipative energy and the energy-traction efficiency are our evaluation indices. The energy efficiencies of the powertrain system and components are analyzed by the energy flow diagram method. The results show that when the range-extended electric bus runs 35 Chinese typical urban bus driving cycles, the energy consumption and the energy efficiency of the powertrain system, which are optimized by the traditional DP strategy, can reach 2844.28 MJ and 31.29%, respectively. Compared with the traditional bus, the energy consumption can be reduced by 31.08%. The energy consumption and the energy efficiency of the powertrain system, which are based on one driving cycle optimal strategy, can reach 2857.69 MJ and 31.14%, respectively. The energy consumption is 0.47% higher than that with the traditional DP strategy, but the computation time is reduced by 96.85%.http://dx.doi.org/10.1155/2015/624649
collection DOAJ
language English
format Article
sources DOAJ
author Xiaogang Wu
Jingfu Chen
Chen Hu
spellingShingle Xiaogang Wu
Jingfu Chen
Chen Hu
Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus
Mathematical Problems in Engineering
author_facet Xiaogang Wu
Jingfu Chen
Chen Hu
author_sort Xiaogang Wu
title Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus
title_short Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus
title_full Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus
title_fullStr Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus
title_full_unstemmed Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus
title_sort dynamic programming-based energy management system for range-extended electric bus
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description The heavy computational burden associated with the application of the traditional DP strategy to the energy management of range-extended electric buses poses a serious problem. On the basis of one Chinese typical urban bus driving cycle, an optimal control strategy is designed according to the SOC consumption trend, which is optimized by the DP algorithm. The dissipative energy and the energy-traction efficiency are our evaluation indices. The energy efficiencies of the powertrain system and components are analyzed by the energy flow diagram method. The results show that when the range-extended electric bus runs 35 Chinese typical urban bus driving cycles, the energy consumption and the energy efficiency of the powertrain system, which are optimized by the traditional DP strategy, can reach 2844.28 MJ and 31.29%, respectively. Compared with the traditional bus, the energy consumption can be reduced by 31.08%. The energy consumption and the energy efficiency of the powertrain system, which are based on one driving cycle optimal strategy, can reach 2857.69 MJ and 31.14%, respectively. The energy consumption is 0.47% higher than that with the traditional DP strategy, but the computation time is reduced by 96.85%.
url http://dx.doi.org/10.1155/2015/624649
work_keys_str_mv AT xiaogangwu dynamicprogrammingbasedenergymanagementsystemforrangeextendedelectricbus
AT jingfuchen dynamicprogrammingbasedenergymanagementsystemforrangeextendedelectricbus
AT chenhu dynamicprogrammingbasedenergymanagementsystemforrangeextendedelectricbus
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