Research on the shift strategy of HMCVT based on the physical parameters and shift time

Zhu, Zhen; Xiang, Gao; Cao, Leilei; Cai, Yumeng; Pan, Daoyuan

doi:10.1016/j.apm.2016.02.017

Cited by 29 publications

(15 citation statements)

References 21 publications

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“…From the kinematics characteristics of the planetary gear train, and the relationship between the input and the output of the overall system, some relations about CCHMT, regardless of mechanical efficiency, are as follows 33 :…”

Section: Modeling Of Cchmtmentioning

confidence: 99%

Optimization for speed regulation strategy of compound coupled hydro-mechanical transmission

Shen

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Heavy duty vehicles, especially special vehicles, including wheel loaders and sprinklers, generally work with drastic changes in load. With the usage of a conventional hydraulic mechanical transmission, they face with these problems such as low efficiency, high fuel consumption and so forth. Some scholars focus on the research to solve these issues. However, few of them take into optimal strategies the fluctuation of speed ratio change, which can also cause a lot of problems. In this study, a novel speed regulation is proposed which cannot only solve problems above but also overcome impact caused by speed ratio change. Initially, based on the former research of the Compound Coupled Hydro-mechanical Transmission (CCHMT), the basic characteristics of CCHMT are analyzed. Besides, to solve these problems, dynamic programming algorithm is utilized to formulate basic speed regulation strategy under specific operating condition. In order to reduce the problem caused by speed ratio change, a new optimization is applied. The results indicate that the proposed DP optimal speed regulation strategy has better performance on reducing fuel consumption by up to 1.16% and 6.66% in driving cycle JN1015 and in ECE R15 working condition individually, as well as smoothing the fluctuation of speed ratio by up to 12.65% and 19.01% in those two driving cycles respectively. The processes determining the speed regulation strategy can provide a new method to formulate the control strategies of CCHMT under different operating conditions particularlly under real-world conditions.

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Section: Modeling Of Cchmtmentioning

confidence: 99%

Optimization for speed regulation strategy of compound coupled hydro-mechanical transmission

Shen

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Yuan et al 7 and Du et al 8 studied the characteristics of multi-stage transmissions, designing a dual-stage output coupled transmission and a dual-mode hydro-mechanical transmission. Zhu et al 32 and Pan et al 33 also carried out some research on shift strategies, and Zhu 34 looked at structure optimization.…”

Section: Development Of Hydro-mechanical Power Split Transmissionsmentioning

confidence: 99%

“…Zhu et al 32 also carried out research on shift and control strategies for multi-stage HMT. Zhang and Zhou 31 proposed an automatic control method for speed and shift range based on the principle of a finite state machine.…”

Section: Key Technologies Status and Trendsmentioning

confidence: 99%

Hydro-mechanical power split transmissions: Progress evolution and future trends

Cao

Cheng

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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The hydro-mechanical power split transmission is an important form of hydraulic hybrid transmission, combining the stepless speed characteristics of hydraulic transmission and the high efficiency of mechanical transmission. Recently, the hydro-mechanical power split transmission, with its relatively large potential for energy recovery and improving the environment, and its low cost, has attracted many scholars from all over the world. Because there are many types of hydro-mechanical power split transmission, the different forms are complex, and researchers across the world are relatively dispersed, it has experienced a long and arduous development process. Therefore, it is important to summarize the types, developments, and achievements of this transmission. From the recent literature at home and abroad, this paper summarizes developments, key techniques and trends, analyses problems and difficulties in design and application, discusses the methods for solving these problems, and provides references for the development and application of hydro-mechanical power split transmission.

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“…One of the essential characteristics of Dynamic Multiobjective Optimization Problems (DMOPs) is that the objective functions, constraints, or decision variables change over time, which results in varying the Pareto-Optimal Set (POS) and/or Pareto-Optimal Front (POF) [19]. Many real-world MOPs are dynamic in nature, e.g., dynamic multiobjective job shop scheduling [20], online optimization of shift strategy for hydro-mechanical continuously variable transmission [21], control of time-varying unstable plants [22]. Due to the presence of dynamics, the optimization of DMOPs is much more challenging.…”

Section: Introductionmentioning

confidence: 99%

A Shift Vector Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Dynamic Optimization

et al. 2020

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This paper presents a novel algorithm to deal with dynamic multiobjective optimization problems, in which the objective functions change over time. The algorithm adopts the decomposition framework to decompose the multiobjective optimization problems into a number of scalar optimization subproblems. For each subproblem, its respective solutions obtained in several former consecutive environments can form a moving trajectory over time. A shift vector guided prediction model is proposed, which samples three intermediately previous solutions of each subproblem to construct two shift vectors. The shift vectors use the weighted summation to generate a new shift vector as the forthcoming motion of the target solution. Then a new location in the later environment is estimated based on the current location and the newly generated shift vector. When detecting an environmental change, the multiobjective evolutionary algorithm based on decomposition will update the population using the predicted solutions by the proposed model. Empirical results demonstrate that our proposed algorithm is effective in tracking dynamic optimal solutions and shows great superiority comparing with state-of-the-art methods.

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Research on the shift strategy of HMCVT based on the physical parameters and shift time

Cited by 29 publications

References 21 publications

Optimization for speed regulation strategy of compound coupled hydro-mechanical transmission

Optimization for speed regulation strategy of compound coupled hydro-mechanical transmission

Hydro-mechanical power split transmissions: Progress evolution and future trends

A Shift Vector Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Dynamic Optimization

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