Control-Oriented Modelling with Experimental Verification and Design of the Appropriate Gains of a PI Speed Ratio Controller of Chain CVTs

Yıldız, Ahmet; Kopmaz, Osman

doi:10.5545/sv-jme.2016.4184

Cited by 8 publications

(7 citation statements)

References 15 publications

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“…These results indicate that new CVT has wide transmission ratio that is larger than toroidal [11,20] and belt [22,23] CVTs those can provide about 2.5 speed ratio in maximum case.…”

Section: Maximum Transmission Ratiomentioning

confidence: 80%

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Novel continuously variable transmission mechanism

Olyaei

2019

SN Appl. Sci.

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Continues changing of gear ratio is accomplished by continuously variable transmission (CVT) gearboxes that perfectly matches the torque and rotational speed of engine with output conditions. Developing CVTs for better performance and make it more reliable is ongoing effort. Here we present new ratcheting CVT mechanism that is similar to cam based CVT but instead cam it has a free shaft. New CVT is totally mechanical, frictionless and self-adjustable. Its automatic feature makes it cost effective and reliable. Wide gear ratio is achievable easily and simple structure make it more feasible. In opposite to conventional belt-type or toroidal CVTs, this new CVT doesn't use friction force, so its energy transfer efficiency improved and made it durable.

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“…These results indicate that new CVT has wide transmission ratio that is larger than toroidal [11,20] and belt [22,23] CVTs those can provide about 2.5 speed ratio in maximum case.…”

Section: Maximum Transmission Ratiomentioning

confidence: 80%

“…As nearly all types of CVTs need a separate control unites, that changes the gear ratio properly, transient dynamics of CVT is one of the major concerns in design and modelling of the control unite [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Novel continuously variable transmission mechanism

Olyaei

2019

SN Appl. Sci.

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“…In the history of active suspension control applications, many approaches have been studied by researchers to improve comfort and ride handling (Ding et al, 2020; Li et al, 2020; Liu et al, 2019; Konoiko et al, 2019; Talib and Darus 2017; Vahedi and Jamali 2021). As a result of the conflicting nature of performance requirements such as comfort, handling, and suspension displacement, a variety of control strategies such as linear quadratic regulator (LQR) (Sam et al, 2000), adaptive sliding control (Chen and Huang 2005), H∞ and robust H ∞ control (Du and Zhang 2007), sliding mode control (SMC) (Akbari et al, 2010), FL (Cózar et al, 2019; Ejegwa et al, 2021; Elbab et al, 2009; Xu et al, 2021), preview control (Oraby et al, 2007), proportional integral (PI) control (Yildiz and Kopmaz 2017), optimal control (Marzbanrad et al, 2002, 2003), and neural network methods (Al-Holou et al, 2002) have been studied to handle with the trade-off performance criteria for active suspension control. Nonetheless, by their nature, some of these methods are resource-intensive and may under-perform in unfamiliar conditions.…”

Section: Controller Designmentioning

confidence: 99%

Fuzzy logic and proportional integral derivative based multi-objective optimization of active suspension system of a 4×4 in-wheel motor driven electrical vehicle

Bingül

Yıldız

2022

Journal of Vibration and Control

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This paper considers fuzzy logic and proportional integral derivative based multi-objective optimization of a non-linear active suspension system of a 4 × 4 in-wheel motor-driven electric vehicle by using the non-dominated sorting genetic algorithm II. The active suspension system of the electric vehicle and its controllers are optimized to achieve International Organization for Standardization2631-1 ride comfort and health criteria, also providing the actual working conditions such as roll angle and tire load transfers simultaneously for driving safety. In this regard, a non-linear full electrical vehicle model with quadratic tire and cubic suspension stiffnesses with 11 degrees of freedom and a seat-driver model with 5 degrees of freedom are implemented and optimized regarding seven objective functions determined from the root mean square of head and seat accelerations, crest factor , vibration dose value , the ratio of head and seat accelerations, the ratio of the upper torso and seat acceleration, root mean square upper torso acceleration, and root mean square of suspension, tire, and in-wheel motor displacements. The design variables of the optimization problem are chosen as the stiffnesses and damping coefficients of the suspension, in-wheel motors, and seat, as well as the parameters of the proportional derivative and fuzzy logic controllers. The obtained results demonstrate that significant improvements can be achieved by using a controller over the passive systems. It is also noted that the fuzzy logic controller improves ride comfort and the health criterion over proportional derivative system up to 13%, while the load transfer ratio index showed no adverse change between models concerning the rollover condition. The outcomes of this work clearly state that significant improvements, in terms of vibration exposure, can be achieved with the help of reducing the vibration amplitude of an in-wheel motor-driven electrical vehicle active suspension system by using multi-objective optimization considering a non-linear full vehicle model and realistic working conditions such as tire load transfer and vehicle body roll during cornering circumstances. Thus, obtained results are of utmost importance for manufacturers about the active suspension design process providing both a safe and comfortable driving of in-wheel driven electric vehicles.

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“…However, the realtime implementation issues remained unaffected. Yildiz and Kopmaz [4] have carefully studied the dynamics of CVT and developed a control-oriented model, which has been validated via a test rig in order to design appropriate controller for shifting.…”

Section: Introductionmentioning

confidence: 99%

HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission

Taghavipour

Alipour

2021

SV-JME

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One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time implementation capability is proposed that can handle the energy management task concurrently with gear shifting strategy in a parallel pre-transmission hybrid electric vehicle. The proposed controller hardware-in-the-loop (HIL) validation procedure on the high-fidelity Autonomie model shows significant improvement in fuel economy while maintaining drivability in three different driving schedules. HIL evaluation guarantees the real-time capability and the proposed controller readiness to be implemented to real-world control hardware.

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Control-Oriented Modelling with Experimental Verification and Design of the Appropriate Gains of a PI Speed Ratio Controller of Chain CVTs

Abstract: The continuously variable transmission (CVT)

Cited by 8 publications

References 15 publications

Novel continuously variable transmission mechanism

Novel continuously variable transmission mechanism

Fuzzy logic and proportional integral derivative based multi-objective optimization of active suspension system of a 4×4 in-wheel motor driven electrical vehicle

HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission

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