Gearshift control strategies for hybrid electric vehicles: A comparison of powertrains equipped with automated manual transmissions and dual-clutch transmissions

Guercioni, Guido Ricardo; Vigliani, Alessandro

doi:10.1177/0954407018804120

Cited by 12 publications

(5 citation statements)

References 30 publications

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“…Scholar Guercioni G. R. analyzed the transmission system of a series-parallel hybrid electric vehicle architecture and conducted stage analysis and equation design for its shift control strategy. The results indicated that the controller exhibited good application performance in nonlinear dynamic models [11]. Scholar Jiang S. conducted theoretical derivations and modal energy analysis on the multi-stage gear transmission system of permanent magnet synchronous motors, considering electromagnetic effects and torsional resonance characteristics.…”

Section: Related Workmentioning

confidence: 99%

Gear error control and response of electric vehicle transmission gearing based on gear trimming

Zhao,

Zhou,

2024

J. vibroeng.

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The lightweight development of electric vehicle motors is a prominent future trend, with the challenge of transmission vibration and noise acting as a key bottleneck that limits the enhancement of power and speed in electric vehicle drive systems. The noise generated by electric vehicle transmissions is primarily associated with the transmission system and gear structure. In line with this, the present study proposes an analysis of transmission error and response mechanisms through gear modifications. The research delves into the analysis of gear deformation and error generation characteristics. It further investigates methods for parametric equation modeling, tooth profile modification, deformation imprint analysis, and vibration response modeling to examine excitation response analysis and noise reduction techniques pertaining to transmission errors. The findings demonstrate that, under 40 % torque, the shaped gear exhibited a maximum reduction in transmission error of 34.2 %, resulting in an overall error improvement of over 5.7 %. Moreover, the maximum error difference after tooth profile and tooth direction shaping exceeded 2 %. The gear-shaping-based electric vehicle transmission showcased favorable economic and technical performance, while its excitation response mechanism provided valuable guidance for mass production. Overall, these results highlight the significance of analyzing transmission errors through gear modifications in achieving lightweight electric vehicle motors. By addressing transmission vibration and noise issues, this research contributes to overcoming limitations and promoting advancements in power and speed within electric vehicle drive systems.

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Section: Related Workmentioning

confidence: 99%

Gear error control and response of electric vehicle transmission gearing based on gear trimming

Zhao,

Zhou,

2024

J. vibroeng.

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“…One of the important directions in the field of modernization and improvement of power transmissions is the use of design parameters to stabilize the operating modes of tractors [9]- [11]. In most cases, this results in an improvement of the interaction of the working parts of the machine with the processed environment and it is the main way of stabilizing the loading conditions of the tractor.…”

Section: B Research On the Stabilization Of Power Transmission Operating Modesmentioning

confidence: 99%

“…There has been developed a simulation model of the all-synchromesh gearbox, which differs from other models by its simplicity and quality, which can be calculated in real-time [18]. There is a large number of analyzes of different types of gearboxes, such as the control analysis of a hybrid automatic and manual gearbox and a hybrid double-clutch gearbox [9]. Also, the dynamic analysis of a vehicle with three different transmission configurations is of great interest [19], namely those with a spring-damper; a machine with a spring-damper combined with stabilizer bars; a machine with a spring-damper in combination with the hydraulically coupled roll-plane suspension.…”

Section: Research On the Improvement Of Mobile Machines Performancementioning

confidence: 99%

Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers

et al. 2021

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The current paper has presented the study on theoretical dependences of the optimization parameter (the degree of transmission transparency) on the design factors of elastic-damping mechanism (EDM) in the transmission for tractors of small traction class (14 kN). The purpose of the study was to obtain a unified functional relationship that integrates early study results. The determination of a unified function was based on reaching a compromise by the method of indefinite Lagrange multipliers. With the help of the function, there have been obtained the dependences of the effect of EDM design factors on transmission processes when performing the main agricultural operations. Using a method based on finding a compromise solution (method of indefinite Lagrange multipliers), there have been substantiated design parameters of the elastic-damping mechanism in the tractor transmission and there has been identified an optimization parameter of the Lagrange function. For a better understanding of the obtained dependence, there has been carried out a three-dimensional visual analysis. Each factor used in the Lagrange function was a physical parameter of an elastic-damping mechanism. The resulting equation has given an opportunity to control mechanism parameters in natural operating conditions. The obtained Lagrange value has demonstrated that the mechanism absorbs 32% of fluctuations in the external traction load of a tractor, when working with the main agricultural tools.

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“…The reducer is an important component of the hybrid electric vehicle drive train. Compared to traditional fuel vehicles, its fatigue life depends not only on load conditions but also on the driving conditions, output characteristics of various power sources, etc [3][4][5][6]. Due to the shortcomings of the traditional reducer fatigue life test method, such as a long cycle and high cost, bench test by compiling load spectrum has become the main method of reducer fatigue testing in enterprises [7].…”

Section: Introductionmentioning

confidence: 99%

Load Spectrum Compilation Method of Hybrid Electric Vehicle Reducers Based on Multi-Criteria Decision Making

Han

et al. 2022

Energies

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This article proposes a method for compiling the load spectra of reducers for hybrid electric vehicles. Selecting typical working conditions for real vehicle data collection, the load data under each typical working condition were divided into five categories according to the state of the power source and the data were preprocessed. The optimal sample loads for compiling load spectra were obtained based on a multi-criteria decision-making method, rainflow counting for optimal sample loads was performed according to different power source output patterns, non-parametric extrapolation was performed to obtain the full-life two-dimensional load spectrum after dimensionality reduction, and a full-life eight-level programmed load spectrum that could be used for bench tests was obtained. Using the programmed load spectrum and the extracted sample load as the load input, a fatigue life prediction simulation of the reducer gear of a hybrid electric vehicle was carried out. The reducer gear fatigue life from the programmed load spectrum was compared to the gear fatigue life under actual load. The fatigue life of the reducer gear when the programmed load spectrum was used as the input was 1.412 × 103. When the actual load was used as the input load, the fatigue life of the reducer gear was 1.933 × 103. The relative error between the two is only 26%, which is in the normal range. The results show that the programmed load spectrum is effective and reliable and that the load spectrum compilation method provides a basis for accurately evaluating the reliability of the hybrid electric vehicle reducer.

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Gearshift control strategies for hybrid electric vehicles: A comparison of powertrains equipped with automated manual transmissions and dual-clutch transmissions

Cited by 12 publications

References 30 publications

Gear error control and response of electric vehicle transmission gearing based on gear trimming

Gear error control and response of electric vehicle transmission gearing based on gear trimming

Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers

Load Spectrum Compilation Method of Hybrid Electric Vehicle Reducers Based on Multi-Criteria Decision Making

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