LAPSE:2023.30764
Published Article
LAPSE:2023.30764
Energy Management Strategies for Hybrid Loaders: Classification, Comparison and Prospect
Jichao Liu, Yanyan Liang, Zheng Chen, Wenpeng Chen
April 17, 2023
Abstract
As one of the effective and crucial ways to achieve the energy saving and emission reduction of loaders, hybrid technology has attracted the attention of many scholars and manufacturers. Selecting an appropriate energy management strategy (EMS) is essential to reduce fuel consumption and emissions for hybrid loaders (HLs). In this paper, firstly, the application status of drivetrain configuration of HLs is presented. Then, the working condition characteristics of loaders are analyzed. On the basis of this, the configurations of HLs are classified, and the features and research status of each configuration are described. Next, taking the energy consumption optimization of HLs as the object, the implementation principle and research progress of the proposed rule strategy and optimization strategy are compared and analyzed, and the differences of existing EMSs and future development challenges are summarized. Finally, combining the advantages of intelligent control and optimal control, the future prospective development direction of EMSs for HLs is considered. The conclusions of the paper can be identified in two points: firstly, although the existing EMSs can effectively optimize the energy consumption of HLs, the dependence of the strategy on the mechanism model and the vehicle parameters can reduce the applicability of the strategy to heterogeneous HLs and the robustness to a complex working condition. Secondly, combining the advantages of intelligent control and optimal control, designing an intelligent EMS not depending on the vehicle analytical model will provide a new method for solving the energy consumption optimization problem of HL.
Keywords
energy management strategy, hybrid loaders, optimization-based strategy, rule-based strategy
Suggested Citation
Liu J, Liang Y, Chen Z, Chen W. Energy Management Strategies for Hybrid Loaders: Classification, Comparison and Prospect. (2023). LAPSE:2023.30764
Author Affiliations
Liu J: Jiangsu XCMG Research Institute Co., Ltd., Xuzhou 221004, China
Liang Y: Jiangsu XCMG Research Institute Co., Ltd., Xuzhou 221004, China
Chen Z: School of Materials and Physics, China University of Mining and Technology, Xuzhou 221116, China
Chen W: Jiangsu XCMG Research Institute Co., Ltd., Xuzhou 221004, China
Journal Name
Energies
Volume
16
Issue
7
First Page
3018
Year
2023
Publication Date
2023-03-25
ISSN
1996-1073
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Original Submission
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PII: en16073018, Publication Type: Review
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LAPSE:2023.30764
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https://doi.org/10.3390/en16073018
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