A Rapidly Trainable Data-Driven Real-Time Energy Management Strategy for Fuel Cell Hybrid Electric Tractor DOI

Boyu Guo,

Jinghui Zhao, Mei Yan

et al.

Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 9

Published: Dec. 4, 2024

Language: Английский

Applications of Autonomous Navigation Technologies for Unmanned Agricultural Tractors: A Review DOI Creative Commons
Jiwei Qu, Zhe Zhang,

Zheyu Qin

et al.

Machines, Journal Year: 2024, Volume and Issue: 12(4), P. 218 - 218

Published: March 25, 2024

The development of unmanned agricultural tractors (UAT) represents a significant step towards intelligent equipment. UAT technology is expected to lighten the workload laborers and enhance accuracy efficiency mechanized operations. Through investigation 123 relevant studies in literature published recent years, this article reviews three aspects autonomous navigation technologies for UATs: perception, path planning tracking, motion control. advantages deficiencies these context UATs are clarified by analyzing technical principles status current research. We conduct summaries analyses existing solutions different application scenarios order identify bottleneck issues. Based on analysis applicability UATs, it can be seen that fruitful research progress has been achieved. review also summarizes common problems technologies. sharing integrating multi-source data so far relatively weak. There an urgent need high-precision high-stability sensing universality methods precision tracking improved, necessary develop highly reliable electrical control modules performance. Overall, advanced sensors, high-performance algorithms, hardware key factors promoting technology.

Language: Английский

Citations

5

Research on Fuel Economy of Hydro-Mechanical Continuously Variable Transmission Rotary-Tilling Tractor DOI Creative Commons
Mingzhu Zhang, Ningning Wang, Shoujun Zhou

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1490 - 1490

Published: March 18, 2025

In response to the absence of an effective variable speed control strategy for tractors equipped with hydro-mechanical continuously transmission (HMCVT) during rotary-tillage operations, this study investigates power transfer and fuel economy characteristics rotary-tilling tractor operation. A dynamic analysis is conducted, a model developed. This comprehensively incorporates factors such as efficiency HMCVT, horizontal cutting force rotary tillage, torque coupling relationships between various subsystems utilizes backward modeling approach dual inputs: walking load load. Based on measured data consumption rate from 64 engine groups within study, BP neural network engine’s Furthermore, it proposed that per kilometer operation be used characterize tractor. The results demonstrate increase in forward concurrently enhances both productivity finding provides theoretical foundation developing

Language: Английский

Citations

0

Quality and Efficiency of a Brain-Smart Electric Tractor Unit Operation Control Mechanism: Instant Information Interaction and Collaborative Task Management DOI Creative Commons

Zhenhao Luo,

Qingzhen Zhu, Mengnan Liu

et al.

Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Research on Energy-Saving Control Strategy of Nonlinear Thermal Management System for Electric Tractor Power Battery Under Plowing Conditions DOI Creative Commons
Xiaoshuang Guo,

Ruiliang Xu,

Junjiang Zhang

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(5), P. 249 - 249

Published: April 25, 2025

To address the issue of over-regulation temperature a liquid-cooled power battery thermal management system under plowing condition electric tractors, which leads to high energy consumption, nonlinear model prediction control (NMPC) algorithm for tractors applicable is proposed. Firstly, control-oriented tractor heat production and transfer were established based on operating conditions Bernardi’s theory production. Secondly, in order improve accuracy prediction, method future working information moving average Finally, predictive cooling optimization strategy proposed, with objectives quickly achieving regulation reducing compressor consumption. The proposed validated by simulation hardware-in-the-loop (HIL) testbed. results show that NMPC can better, holding phase reduces speed variation range 24.6% compared PID, it consumption 23.1% whole phase.

Language: Английский

Citations

0

Design and Optimization of Power Shift Tractor Starting Control Strategy Based on PSO-ELM Algorithm DOI Creative Commons
Yu Qian, Lin Wang, Zhixiong Lu

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(5), P. 747 - 747

Published: May 10, 2024

Power shift tractors have been widely used in agricultural recent years because of their advantages uninterrupted power during shifting, high transmission efficiency and stability. As one the indispensable driving states tractor, starting process requires a small impact speed that meets driver’s requirements. In this paper, aiming at such contradictory requirements, control strategy tractor is formulated with goal quality intention. Firstly, identification characteristics driver under three intentions are obtained by real vehicle test. An extreme learning machine fast short training time to establish basic intention model. For instability results Extreme Learning Machine (ELM), particle swarm optimization algorithm (PSO) optimize ELM. The optimized model has an accuracy 96.891% for identification. wet clutch important part gearbox. knowledge base established combination bench tests simulation tests. Through fuzzy algorithm, combined strategy. Different drivers’ will affect comprehensive evaluation (the single index is: maximum sliding power, stability time, degree), thus affecting final choice considering On basis, paper studies establishes MPC controller Compared linear strategy, PSO-ELM-fuzzy weight proposed can reduce friction 45%, 69.45%, stabilization 0.11 s. effectiveness improve verified.

Language: Английский

Citations

1

Research on the Energy Management Strategy of a Hybrid Tractor OS-ECVT Based on a Dynamic Programming Algorithm DOI Creative Commons
Kai Zhang, Xiaoting Deng, Zhixiong Lu

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(9), P. 1658 - 1658

Published: Sept. 22, 2024

The multi-degree-of-freedom characteristics of the planetary gear electronic continuously variable transmission (ECVT) configuration in series-parallel hybrid tractors impose more complex requirements for energy management strategies under load conditions. For a high-power tractor, this paper takes tractor output-split (OS)-ECVT as research object and describes principles stepless power-splitting within configuration. In order to improve fuel economy running status power components, an strategy focused on ploughing conditions based Bellman minimum dynamic programming (DP) algorithm is proposed paper. Second, equivalent consumption selected performance index energy-saving control, solving principle established facilitate resolution process strategy. Finally, control simulation completed results show that compared with optimal operating line (OOL), DP fully utilizes benefits low-cost electric enables system have wider range performance. addition, has advantages enhanced decoupling speed torque, higher efficiency, economical secondary conversion. As result, whole machine power-split performance, greatly improving components. values OOL are about 3.1238 L 4.2713 L, respectively. reduced by 26.87%, which effectively improves efficiency tractors.

Language: Английский

Citations

1

A Rapidly Trainable Data-Driven Real-Time Energy Management Strategy for Fuel Cell Hybrid Electric Tractor DOI

Boyu Guo,

Jinghui Zhao, Mei Yan

et al.

Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 9

Published: Dec. 4, 2024

Language: Английский

Citations

0