Neuro fuzzy transmission control for automobile with variable loads

Hayashi, Kunitake; Shimizu, Yoshimasa; Dote, Y.; Takayama, Akira; Hirako, A.

doi:10.1109/87.370709

Cited by 52 publications

(22 citation statements)

References 2 publications

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“…universe of discourse of fPj j j 2 g, we obtain the fuzzy-set gear positionP (i) = f(R j (i); P j )g: (15) With the "first-of-maxims" defuzzification method, the most possible road situation can be obtained as P k = inf i= fP j j j 2 Con;R(j) = max l2 (R(l))g: (16) Then, P k is taken as the candidated gear position. At last, the output gear position is determined with constrain ofĨ(i) as If inf i=fA;K;Sg fi 2 Con j I(i) = max j2fA;K;Sg (I(j))g = A \ P 0 > P k ;…”

Section: E Gear-position Calculationmentioning

confidence: 99%

“…Weil [11], Bastian [12], and Sakaguchi [13] proposed the ideas of introducing driving knowledge into shifting schedules of AT and, respectively, researched the "wind road," "slop road," and "load adaptation" situations. Graf [14], Shimizu [15], and Hayashi [16] presented neurofuzzy-based GPD concepts to make the control algorithms able to adapt to load variance and different driver types. As new powertrains are introduced and superpower microcontrollers are used in vehicles, more advanced control algorithms for AT systems are presented [17].…”

Section: Introductionmentioning

confidence: 99%

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Knowledge-Based Gear-Position Decision

Qin

Lee

2004

IEEE Trans. Intell. Transport. Syst.

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Section: E Gear-position Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Knowledge-Based Gear-Position Decision

Qin

Lee

2004

IEEE Trans. Intell. Transport. Syst.

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“…The driving load of a vehicle in motion is defined as the sum of the rolling resistance, aerodynamic drags, and road grade resistance (11) , in which the road grade resistance is known to be the most dominant one (12) . Most previous works in the literature have treated the driving load as an external disturbance (1), (6), (10), (13), (14) . Therefore, the performance of a longitudinal motion control depended heavily on how well the robustness of the designed controller has been assured over the driving load.…”

Section: Introductionmentioning

confidence: 99%

“…The importance of knowing the driving load has been recognized in many related works: an intelligent cruise control system (1), (3), (5) , a collision warning and avoidance system (4) , a longitudinal vehicle platoon control (2) , and a powertrain control system (6) - (10) , and others. The driving load of a vehicle in motion is defined as the sum of the rolling resistance, aerodynamic drags, and road grade resistance (11) , in which the road grade resistance is known to be the most dominant one (12) .…”

Section: Introductionmentioning

confidence: 99%

Driving Load Estimation with the Use of an Estimated Turbine Torque

Kim

Hong

2006

JSME Int. J., Ser. C

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In this paper, a vehicle driving load estimation scheme in the form of a linear state observer is presented. The signals used in the observer are the transmission output speed and driven wheel speed, which are readily available in any vehicle equipped with an automatic transmission. Because the observer requires the turbine torque as input, the turbine torque itself has been estimated using a neural network. The proposed observer has been evaluated using a vehicle simulator in various driving situations considering transmission oil temperature variations, engine power losses, and variation of load conditions. A nonlinear vehicle powertrain model has been used in the development of the vehicle simulator. The effectiveness of the proposed scheme has been tested through experiments.

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“…Such a development is, actually, an automated manual gear-shift system. Neuro and fuzzy methods are adopted for the controller and the interface between a vehicle operator and an automobile to make the operator feel comfortable even when automobile loads change while traveling [6]. Scherer et al introduced the six-speed automatic transmission for passenger cars developed by ZF in 2001.…”

mentioning

confidence: 99%

A generalized IC engine propulsion method and corresponding transmission design for improving vehicle fuel efficiency

Gong

2013

Eur. Transp. Res. Rev.

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Based on the analysis of the working profiles of internal combustion (IC) engines, a case-emphasized propulsion method is generalized to improve vehicle fuel efficiency. With this method, the ratio of the most-used speed to the mostdesired speed of an IC engine is employed to control the engine to always run at its optimal working state with an efficient single-stage gear transmission. Examples of the propulsion method with different brands of IC engines in the market place demonstrate the potential that this method could reduce engine fuel consumption up to 5~39 %. A conceptual design of n-ratio automatic single-stage gear transmission is then developed to implement the case-emphasized propulsion method in a general way. Not only can such a design execute the proposed propulsion method well as an almost continuous variable transmission, but it can also increase the propulsion efficiency about 8~18 % if it is applied to replace the traditional automatic transmissions or continuously variable transmissions (CVTs) in vehicle drivetrains.Keywords Working profile of IC engine . Case-emphasized propulsion method . N-ratio automatic single-stage gear transmission . Most-used working state . Most-desired working state . Almost continuous variable transmission BackgroundBecause of the shortage of crude oil and the concern of environment, the automotive industry is required to ramp up production of more fuel-efficient vehicles on a tight timeline. As an essential power conversion system for vehicle propulsion, the technology of internal combustion (IC) engine is the focus of attention for attempting the improvement of vehicle efficiency. It is known that the technology of IC engine has its advantages as compared with other energy conversion technologies used on vehicles:

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Neuro fuzzy transmission control for automobile with variable loads

Cited by 52 publications

References 2 publications

Knowledge-Based Gear-Position Decision

Knowledge-Based Gear-Position Decision

Driving Load Estimation with the Use of an Estimated Turbine Torque

A generalized IC engine propulsion method and corresponding transmission design for improving vehicle fuel efficiency

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