JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE A

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Parameter matching and optimization of hybrid excavator swing system

Author(s): Chao SHEN, Jianxin ZHU, Jian CHEN, Saibai LI, Lixin YI
Affiliation(s): State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha 410083, China; more
Corresponding email(s): zjianx-918@163.com
Key Words: Hybrid system; Energy regeneration; Swing braking energy; Parameter optimization; Improved multi-objective particle swarm optimization (IMOPSO); Adaptive grid

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Chao SHEN, Jianxin ZHU, Jian CHEN, Saibai LI, Lixin YI. Parameter matching and optimization of hybrid excavator swing system[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2400040

@article{title="Parameter matching and optimization of hybrid excavator swing system",
author="Chao SHEN, Jianxin ZHU, Jian CHEN, Saibai LI, Lixin YI",
journal="Journal of Zhejiang University Science A",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/jzus.A2400040"
}

%0 Journal Article
%T Parameter matching and optimization of hybrid excavator swing system
%A Chao SHEN
%A Jianxin ZHU
%A Jian CHEN
%A Saibai LI
%A Lixin YI
%J Journal of Zhejiang University SCIENCE A
%P 138-150
%@ 1673-565X
%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/jzus.A2400040"

TY - JOUR
T1 - Parameter matching and optimization of hybrid excavator swing system
A1 - Chao SHEN
A1 - Jianxin ZHU
A1 - Jian CHEN
A1 - Saibai LI
A1 - Lixin YI
J0 - Journal of Zhejiang University Science A
SP - 138
EP - 150
%@ 1673-565X
Y1 - in press
PB - Zhejiang University Press & Springer
ER -
doi="https://doi.org/10.1631/jzus.A2400040"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: In this study, a novel synergistic swing energy-regenerative hybrid system (SSEHS) for excavators with a large inertia slewing platform is constructed. With the SSEHS, the pressure boosting and output energy synergy of multiple energy sources can be realized, while the swing braking energy can be recovered and used by means of hydraulic energy. Additionally, considering the system constraints and comprehensive optimization conditions of energy efficiency and dynamic characteristics, an improved multi-objective particle swarm optimization (IMOPSO) combined with an adaptive grid is proposed for parameter optimization of the SSEHS. Meanwhile, a parameter rule-based control strategy is designed, which can switch to a reasonable working mode according to the real-time state. Finally, a physical prototype of a 50-t excavator and its AMESim model is established. The semi-simulation and semi-experiment results demonstrate that compared with a conventional swing system, energy consumption under the 90° rotation condition could be reduced by about 51.4% in the SSEHS before parameter optimization, while the energy-saving efficiency is improved by another 13.2% after parameter optimization. This confirms the effectiveness of the SSEHS and the IMOPSO parameter optimization method proposed in this paper. The IMOPSO algorithm is universal and can be used for parameter matching and optimization of hybrid power systems.

混合动力挖掘机回转系统的参数匹配与优化

作者：沈超^1,2，朱建新^1,2，陈健¹，李赛白²，易李欣^1,2
机构：¹中南大学，极端服役性能精准制造全国重点实验室，中国长沙，410083；²山河智能装备股份有限公司，国家企业研发中心，中国长沙，410100
目的：挖掘机等工程机械的回转系统在回转加速-制动过程中存在严重的溢流能量损失。本文旨在探究混合动力回转节能系统及其参数匹配、优化方法，以获得综合性能最优的系统参数组合，实现回转能量高效回收再利用，降低回转系统能耗。
创新点：1.提出一种耦合式回转能量再生混合动力系统（SSEHS），并阐述其工作原理和节能机制；2.考虑系统多目标优化和条件约束，设计多目标优化粒子群算法，获得综合性能最优的参数组合方案；3.基于物理样机测试数据，建立仿真模型，证实节能系统和算法有效性。
方法：1.基于挖掘机传统液压回转系统和液压储能原理，构建耦合式回转能量再生混合动力系统；2.通过理论推导，设计一种基于自适应网格的改进多目标粒子群（IMOPSO）算法，计算得到综合性能最优的系统参数组合；3.根据节能系统结构和工作原理，设计基于参数规则的控制策略；4.通过物理样机数据和仿真模拟，验证所提回转节能系统和参数优化方法的可行性和有效性。
结论：1.与传统回转系统相比，所提回转节能系统回转加速过程中显著减小主泵所需输出压力；2.所提回转节能系统能耗降低约51.4%，参数优化后节能效率又提高13.2%；3.与传统回转系统相比，所提回转节能系统可降低78.3%溢流能量损失。

关键词组：混合动力系统；能量再生；回转制动能量；参数优化；自适应网格；改进多目标粒子群算法

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混合动力挖掘机回转系统的参数匹配与优化

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