Load characteristics analysis of tractor drivetrain under field plowing operation considering tire-soil interaction

Shao, Xuedong; Yang, Zihan; Mowafy, Samir; Zheng, Bowen; Song, Zhenghe; Luo, Zhenhao; Guo, Wei

doi:10.1016/j.still.2022.105620

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…The storage battery is electrically connected to the motor via an electric coupler, enabling a bidirectional power source. The vehicle is capable of operating in four distinct modes, each with its own energy flow paths, which are as follows: In agricultural production, plowing is considered the most fundamental and demanding working mode [18]. Therefore, the power requirements for plowing operations serve as the benchmark.…”

Section: Power System Structure Design and Parameter Selectionmentioning

confidence: 99%

“…The universal characteristic curve of the engine is shown in Figure 2, and the efficiency map of the motor is shown in Figure 3. In agricultural production, plowing is considered the most fundamental and demanding working mode [18]. Therefore, the power requirements for plowing operations serve as the benchmark.…”

Section: Power System Structure Design and Parameter Selectionmentioning

confidence: 99%

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Research on Control Strategy of APSO-Optimized Fuzzy PID for Series Hybrid Tractors

Xu,

Wang,

et al. 2023

WEVJ

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Energy management strategies are crucial for improving fuel economy and reducing the exhaust emissions of hybrid tractors. The authors study a series diesel-electric hybrid tractor (SDEHT) and propose a multi-operating point Fuzzy PID control strategy (MOPFPCS) aimed to achieve better fuel economy and improved control. To further improve the vehicle economy, the adaptive particle swarm optimization method is used to optimize the key parameters of the Fuzzy PID controller. A co-simulation model in AVL-Cruise and Matlab/Simulink environment is developed for plowing mode and transportation mode. The simulation results show that under the two operation modes, the equivalent fuel consumption of the adaptive particle swarm optimization multi-operating points Fuzzy PID control strategy (APSO-MOPFPCS) is reduced by 18.3% and 15.0%, respectively, compared to the engine single-operating point control strategy (ESOPCS). Also, it was found to be reduced by 9.5% and 4.6%, respectively, compared to the MOPFPCS.

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Section: Power System Structure Design and Parameter Selectionmentioning

confidence: 99%

Section: Power System Structure Design and Parameter Selectionmentioning

confidence: 99%

Research on Control Strategy of APSO-Optimized Fuzzy PID for Series Hybrid Tractors

Xu,

Wang,

et al. 2023

WEVJ

View full text Add to dashboard Cite

show abstract

“…In recent years, the application of load spectrum extrapolation in agricultural machinery has become increasingly widespread. Shao et al established a load transfer model for tractor plowing operations and analyzed the load characteristics of the tractor transmission system for field plowing operations through rainfall basin extrapolation [4]. Roberto Tovo proposed a new method to evaluate the single Weibull distribution of the period generated by the rainflow count of random processes, which provides a basis for reliability analysis of fatigue behavior of actual components under service loads [5].…”

Section: Introductionmentioning

confidence: 99%

Extrapolation of Tractor Traction Resistance Load Spectrum and Compilation of Loading Spectrum Based on Optimal Threshold Selection Using a Genetic Algorithm

et al. 2023

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To obtain the load spectrum of the traction resistance of the three-point suspension device under tractor-plowing conditions, a load spectrum extrapolation method based on a genetic algorithm optimal threshold selection is proposed. This article first uses a pin force sensor to measure the plowing resistance of the tractor’s three-point suspension device under plowing conditions and preprocesses the collected load signal. Next, a genetic algorithm is introduced to select the threshold based on the Peak Over Threshold (POT) extremum extrapolation model. The Generalized Pareto Distribution (GPD) fits the extreme load distribution that exceeds the threshold range, generating new extreme points that follow the GPD distribution to replace the extreme points in the original data, achieving the extrapolation of the load spectrum. Finally, the loading spectrum that can be achieved on the test bench is obtained based on the miner fatigue theory and accelerated life theory. The results show that the upper threshold of the time-domain load data obtained by the genetic algorithm is 10.975 kN, and the grey correlation degree is 0.7249. The optimal lower threshold is 8.5455 kN, the grey correlation degree is 0.7722, and the fitting effect of the GPD distribution is good. The plowing operation was divided into five stages: plowing tool insertion, acceleration operation, constant speed operation, deceleration operation, and plowing tool extraction. A traction resistance loading spectrum that can be achieved on the test bench was developed. The load spectrum extrapolation method based on the genetic algorithm optimal threshold selection can improve the accuracy of threshold selection and achieve the extrapolation and reconstruction of the load spectrum. After processing the extrapolated load spectrum, it can be transformed into a load spectrum that can be recognized by the test bench.

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“…In Europe and the United States, hydraulic drive chasses have been extensively employed in self-propelled combines, which can effectively circumvent the limitations of a mechanical drive [12][13][14][15]. There are three main driving forms: a single hydraulic pump with a single hydraulic motor and a gearbox, a single hydraulic pump with double hydraulic motors, and double hydraulic pumps with double hydraulic motors [16,17]. Present-day Agriculture 2024, 14, 65 2 of 14 domestic harvesters generally utilize the HST and conventional mechanical transmission systems to achieve chassis drive operations.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Experimental Investigation of Steering Kinematics of Driven Steering Crawler Harvester Chassis

Wang,

Jin,

Yang

et al. 2023

Agriculture

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In the context of automatic driving, the analysis of the steering motion characteristics is critical for enhancing the efficiency of crawler harvesters. To address issues such as the low transmission efficiency and the large steering radius encountered by traditional crawler harvesters featuring hydrostatic drives, a driven steering crawler harvester chassis was designed. This involved analysis of the chassis transmission system structure and its steering characteristics under several conditions, including differential steering, differential direction reversal, and unilateral braking steering. The steering parameters were determined based on real-time kinematic positioning–global navigation satellite system (RTK-GNSS) measurements, and they were compared with theoretical predictions based on the crawler harvester steering kinematics. The slip rates and modified models of the crawler chassis for various steering modes were then obtained. The results indicated that the increase in the ratio between the running input and steering input speeds led to larger track steering radii and smaller average rotational angular velocities. Remarkably, the slopes of the linear fits of the tracked chassis steering parameters varied significantly under differential direction reversal and differential steering modes. Compared with the actual results, the correlation coefficient of the tracked chassis steering parameters fitting model is close to 1. The steering parameter model was deemed suitable for actual operational requirements. The results provide a valuable reference for designing navigation and steering models of crawler harvesters operating on different road surfaces.

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Load characteristics analysis of tractor drivetrain under field plowing operation considering tire-soil interaction

Cited by 10 publications

References 21 publications

Research on Control Strategy of APSO-Optimized Fuzzy PID for Series Hybrid Tractors

Research on Control Strategy of APSO-Optimized Fuzzy PID for Series Hybrid Tractors

Extrapolation of Tractor Traction Resistance Load Spectrum and Compilation of Loading Spectrum Based on Optimal Threshold Selection Using a Genetic Algorithm

Analysis and Experimental Investigation of Steering Kinematics of Driven Steering Crawler Harvester Chassis

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