Semi-active dampling in automotive systems: design-by-simulation

Kortüm, W.; Valášek, Michael; Šika, Z.; Schwartz, W.; Steinbauer, Pavel; Vaculı́n, O.

doi:10.1504/ijvd.2002.001981

Cited by 6 publications

(2 citation statements)

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“…It is composed of four Wheel Robots, see [4], which integrate drivetrain, brakes, steering, and suspension. sions accurate purpose dependent models describing the behaviour of semi-active dampers are needed as shown e. g. in [5]. These models can then be used for full and quarter-car simulations as well as for estimator and controller design, see [6,7] or [1].…”

Section: Introductionmentioning

confidence: 99%

Modelling and parameter identification of a semi-active vehicle damper

Fleps-Dezasse¹,

Tobolar²,

Pitzer³

2014

Linköping Electronic Conference Proceedings

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In this paper two semi-physical models of the semiactive dampers of the DLR robotic electric vehicle ROboMObil (ROMO) are described and their implementation in Modelica is presented. Besides the damper characteristics and hysteresis, the models additionally consider the gas force and cover the differences of the damper characteristics for compression and rebound. A procedure to identify the damper model parameters was implemented using the DLR Optimization library. The measurement data used for parameter identification was recorded during experiments on a damper test bench. The simulation results of the damper models are compared to the experiment data of the semi-active damper and the suitability of the damper models with respect to accuracy and realtime simulation is discussed. Figure 1: The ROboMObil (ROMO) on the four post test rig During the design process of semi-active suspen-

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Section: Introductionmentioning

confidence: 99%

Modelling and parameter identification of a semi-active vehicle damper

Fleps-Dezasse¹,

Tobolar²,

Pitzer³

2014

Linköping Electronic Conference Proceedings

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“…Furthermore, fundamental researches related to road-friendliness of heavy vehicles are supported by the above governments and their automobile companies (OECD, 1998). Due to the limited performance of traditional passive suspensions, researches on road-friendliness of semi-active suspension systems are being continuously conducted to reduce dynamic tire force generated by heavy vehicles (Yi and Hedrick, 1989;Yan et al, 2007;Kortüm et al, 2002;Guglielmino et al, 2008). For instance, a full heavy vehicle model with a semi-active suspension system was designed using Simpack software in the EU project called 'Copernicus of Semi-Active Damping of Truck Suspensions and Its Influence on Drivers and Road Loads (SADTS)' on vehicle-road interaction to study its road-friendliness (Valášek et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Road-friendliness of Fuzzy Hybrid Control Strategy Based on Hardware-in-the-Loop Simulations

Yan

Ren

et al. 2012

Journal of Biosystems Engineering

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In order to improve road-friendliness of heavy vehicles, a fuzzy hybrid control strategy consisting of a hybrid control strategy and a fuzzy logic control module is proposed. The performance of the proposed strategy should be effectively evaluated using a hardware-in-the-loop (HIL) simulation model of a semi-active suspension system based on the fuzzy hybrid control strategy prior to real vehicle implementations. Methods: A hardware-in-the-loop (HIL) simulation system was synthesized by utilizing a self-developed electronic control unit (ECU), a PCI-1711 multi-functional data acquisition board as well as the previously developed quarter-car simulation model. Road-friendliness of a semi-active suspension system controlled by the proposed control strategy was simulated via the HIL system using Dynamic Load Coefficient (DLC) and Dynamic Load Stress Factor (DLSF) criteria. Results: Compared to a passive suspension, a semi-active suspension system based on the fuzzy hybrid control strategy reduced the DLC and DLSF values. Conclusions: The proposed control strategy of semi-active suspension systems can be employed to improve road-friendliness of road vehicles.

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Handbuch Der Mess- Und Automatisierungstechnik Im Automobil

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Semi-active dampling in automotive systems: design-by-simulation

Cited by 6 publications

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Modelling and parameter identification of a semi-active vehicle damper

Modelling and parameter identification of a semi-active vehicle damper

Road-friendliness of Fuzzy Hybrid Control Strategy Based on Hardware-in-the-Loop Simulations

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