Engine-CVT-A/F consolidated control using decoupling control theory

Takiyama, Takeshi

doi:10.1016/s0389-4304(00)00097-7

Cited by 4 publications

(3 citation statements)

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“…Recent studies describe control techniques for CVT systems associated with vehicles driven by electric motors (electric vehicles -EV), or hybrid vehicles (combined electric and combustion motors) Takiyama, 2001; 15 Lee & Kim; Kim et al, 2006;Ji et al, 2012). In the case of EV, either alternating current (AC) or direct current (DC) motors can be used.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy controller applied to electric vehicles with continuously variable transmission

Fernandes

2016

Neurocomputing

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Section: Introductionmentioning

confidence: 99%

Fuzzy controller applied to electric vehicles with continuously variable transmission

Fernandes

2016

Neurocomputing

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“…Moreover, this kind of control is very sensitive to the changes in system parameters. In fact, inaccurate system parameters and even some variation of system parameters in the control process can result in the failure of the decoupling control [13]. In short, the existing literature reveals that there is no CVT controller viewing the slip control and the speed ratio control as a multiobjective optimal control problem.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Multiobjective Slip and Speed Ratio Control of a Novel Dual-Belt Continuously Variable Transmission for Automobiles

Xie

Wong

Chen

et al. 2014

Mathematical Problems in Engineering

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Van Doorne’s continuously variable transmission (CVT) is the most popular CVT design for automotive transmission, but it is only applicable to low-power passenger cars because of its low torque capacity. To overcome this limitation of traditional single-belt CVT, a novel dual-belt Van Doorne’s CVT (DBVCVT) system, which is applicable to heavy-duty vehicles, has been previously proposed by the authors. This paper, based on the published analytical model and test rig of DBVCVT, further proposes an intelligent multiobjective fuzzy controller for slip and speed ratio control of DBVCVT. The controller aims to safely control the clamping forces of both the primary and the secondary pulleys in order to improve the transmission efficiency, achieve the accurate speed ratio, and avoid the belt slip under different engine loads and vehicle speeds. The slip, speed ratio, and transmission efficiency dynamics of DBVCVT are firstly analyzed and modeled in this paper. With the aid of a flexible objective function, the analytical model, and fuzzy logic, a Pareto rule base for fuzzy controller is developed for multiobjective DBVCVT control. Experimental results show that the proposed controller for slip and speed ratio regulation of DBVCVT is effective and performs well under different user-defined weights.

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“…An engine-CVT integrated control algorithm has been suggested (Takiyama and Morita, 1999) to compensate for the speed error between the desired speed and the actual speed. For the engine-CVT integrated control, an air-fuel ratio control (Takiyama, 2001), throttle opening compensation (Yasuoka et al, 1999) and engine torque compensation (Kim and Kim, 2001) have been investigated. A CVT ratio control algorithm was investigated for the optimal engine operation by considering the drivetrain response lag (Lee and Kim, 2005) and electro-mechanical feedback system response of the ratio control for a hybrid electric vehicle (Yeo and Kim, 2004).…”

Section: Introductionmentioning

confidence: 99%

CVT ratio control with consideration of CVT system loss

Ryu

Kim

2008

Int.J Automot. Technol.

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A modified CVT ratio map is proposed to obtain the improved fuel economy for a metal belt CVT. Since the CVT system loss, which occupies most of the drivetrain loss, depends on the engine speed, input torque, primary and secondary actuator pressure, a modified CVT ratio map is produced to realize the highest engine-CVT overall efficiency through the consideration of CVT system loss. The modified CVT ratio map is constructed with respect to the demanded vehicle power and present vehicle speed based on the steady state CVT system loss. Using the modified CVT ratio map, performance simulations are carried out using the dynamic models of the CVT powertrain. The simulation results indicate that the modified CVT ratio control provides improved engine-CVT overall system efficiency, and improves the fuel economy of the federal urban driving schedule by 4.9 percent.

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Engine-CVT-A/F consolidated control using decoupling control theory

Cited by 4 publications

References 0 publications

Fuzzy controller applied to electric vehicles with continuously variable transmission

Fuzzy controller applied to electric vehicles with continuously variable transmission

Intelligent Multiobjective Slip and Speed Ratio Control of a Novel Dual-Belt Continuously Variable Transmission for Automobiles

CVT ratio control with consideration of CVT system loss

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