Ride Comfort Optimisation of Passenger Car Passive Suspension Systems Using ADAMS/ Insight

Tang, Ai Hua

doi:10.4028/www.scientific.net/amm.395-396.1142

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…For railways, several investigations have focused on the type or design of the wheel [1,2], and the optimisation of suspension elements [3][4][5]. Similarly, several studies have focused on improving the comfort of car passengers by redesigning tyres [6,7] and, most importantly, optimising the suspension elements [8,9]. Other authors have also considered other elements such as the vehicle-body interfaces, including the seats [10].…”

Section: Introductionmentioning

confidence: 99%

Analysis of E-Scooter Vibrations Risks for Riding Comfort Based on Real Measurements

et al. 2022

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Means of transport should be able to fulfil their main function safely and comfortably for travellers and drivers. The effects of vibrations on ride comfort are in the frequency range of 0.5 to 80 Hz and can be analysed using the UNE-2631 standard. This type of analysis has been conducted for several means of transport (bicycles, motorcycles, cars, trucks, etc.), but the literature on e-scooter comfort is very scarce. Existing research describes methodologies, simulation models, and a few measurements related to e-scooter comfort. This paper presents, for the first time, a comfort analysis using an Arduino-based data acquisition system at a sampling frequency of 200 Hz (higher than that in previous studies). Acceleration and speed measurements were obtained by sensorising an e-scooter with inflated wheels without any additional damping systems, which is one of the commonly used e-scooter types. In this study, the comfort for two different speeds (20 and 28 km/h), two types of pavements (pavers and asphalt), and two drivers with different weights was investigated. The results indicate the lowest comfort values for higher velocities and paver pavement. Furthermore, the comfort values were extremely low for all scenarios. In addition, the results demonstrate the necessity of using a sampling rate of at least 80 Hz for this e-scooter model.

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Section: Introductionmentioning

confidence: 99%

Analysis of E-Scooter Vibrations Risks for Riding Comfort Based on Real Measurements

et al. 2022

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“…Some researchers have done a lot of work on the suspension design of the in-wheel motor drive electric vehicles. 10–12 Ashwin Dayal George had proposed a new rear suspension design which makes better use of the available space in car by enabling the placement of a single battery pack toward the rear and in close proximity to the rear wheels; the resulting rearward mass distribution can significantly help to suppress the vibrations caused by the high unsprung mass of the in-wheel motor drive system. 13 Sulgi Shin found that the simultaneous control of the motor driving torque and the semi-active suspension motion can improve the handling stability of the in-wheel motor drive electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization design of in-wheel motors drive electric vehicle suspensions for improving handling stability

Zhang

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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In-wheel motor drive electric vehicle has superior dynamic control capability, but the inner space of wheel hubs that are originally used to install the suspensions is occupied by wheel motors, which leads to an increase in unspring mass and a structural change in suspensions. By referring to a standard car’s suspension to design the suspensions of an in-wheel motor drive electric vehicle, the required vehicle handling stability is hard to reach, so the structure of the suspensions must be redesigned and optimized to facilitate the next step of vehicle dynamics control. In this paper, the virtual prototype is established based on a self-developed in-wheel motor drive electric vehicle, and the correctness of the model is validated by field tests. Then, the design of experiment method is used to analyze the impact of the structural parameters of the front double pivot suspensions and the rear double wishbone suspensions; the sensitivity of the suspension parameters is obtained by entropy measurement, and the suspension parameters with great influence on the handling stability are selected as the design variables and optimized by Non-dominated Sorting Genetic Algorithm II. Through the optimization, the maximum lateral acceleration and the maximum roll angle can be reduced by 4.8% and 10.3%, respectively, under the double lane change test and reduced by 12.7% and 7.9%, respectively, under the serpentine test. The maximum speeds under double lane change and serpentine test simulations can be increased by at least 7% and 5%, respectively. The related research has guiding significance for the suspension design of the in-wheel motor drive electric vehicles.

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Ride Comfort Optimisation of Passenger Car Passive Suspension Systems Using ADAMS/ Insight

Cited by 2 publications

References 7 publications

Analysis of E-Scooter Vibrations Risks for Riding Comfort Based on Real Measurements

Analysis of E-Scooter Vibrations Risks for Riding Comfort Based on Real Measurements

Multi-objective optimization design of in-wheel motors drive electric vehicle suspensions for improving handling stability

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