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Lateral vehicle dynamics control by integrated longitudinal load control

This  master  thesis  was  performed  together  with  the  Vehicle  Dynamics  department  at  Volvo  Cars,  Torslanda.  Volvo Cars is a global producer of passenger cars. With increasing demand of safety, vehicle stability and efficiency, coupled to  customer  demands  of  agility  and  driving  pleasure  from  passenger  cars,  there  is  a  need  of  active  systems  to  both enhance the vehicle dynamics while preserving or increase the efficiency of the vehicle. Therefore, it is of necessity to evaluate possible alternatives to existing systems in order to fulfil these demands. The scope of this Master Thesis was to evaluate the control algorithm “G-vectoring”, used to control yaw response in transient manoeuvres by controlling the longitudinal acceleration and thereby the load transfer. Further, the control algorithm was to be used with the ICE-driveline as actuator to obtain the longitudinal acceleration. The controller was to be evaluated in terms of handling, comfort, applicability and efficiency. The project consisted of two phases: first, a full factorial parameter study was performed using six vehicle specific factors  and  1  environmental  factor,  friction  coefficient,  to  evaluate  the  general  effects  of  the  driveline  controller. Further, to understand on which vehicle the controller would be most applicable on in terms of handling and comfort, and how it affected the general efficiency of the vehicles. The full factorial test was done using simulations, using a one-track model extended with a simple load transfer model, and magic-formula tyres. The driveline used was a Volvo T5  FWD  petrol  driveline  with  6  speed  automatic  Gearbox.  The  full  factorial  experiment  was  done  using  three manoeuvres, step steer, sine with dwell, and closed loop driving. The  second  phase  was  to  answer  how  the  controller  affected  the  handling  and  comfort  of  the  vehicle  using subjective and objective assessment. In this stage, the controller was implemented to be used by real drivers in Volvo Cars driving simulator, using VI-CarRealTime as simulation tool. The controller was tuned for the nonlinear system with gain scheduling approach, and a linear description of the system was developed. The subjective assessment was done over a set of two tests, the first consisting of free driving in the linear range on a 3km test track for 8 laps, the first 4 with the controller active, and second with the controller inactive. The second was a set of 10 consecutive ISO 3888-2 Double Lane changes   (DLC), the first 5 with the controller active, and the last 5 with the controller inactive. The subjective assessment was done with a 1-10 scale similar to SAE J1441. The objective evaluation was done only using the data obtained from the DLC test, as it poses a confined path for the driver to follow. The results from the full factorial test show that the controller can affect the yaw damping, yaw stability, steering angle variance and yaw response of a passenger car. Further, the results indicate that the controller can be expected to have the largest effect on a vehicle that has low mass, low inertia and a high centre of gravity. It was also found that the controller poses a more fuel-efficient way of controlling yaw compared to a ESC equipped vehicle. From the driving simulator test, it was found that the controller had better subjective rating  overall in  terms  of steering  and  handling  on  a  general  steering  feel  and  handling  feel  level.  On  a  more  detailed  level  the  subjective assessment saw the largest advantages of the controller in terms of straight ahead response, under/oversteer at power on/off, and transitional stability, controllability and capacity feel. The disadvantage is primarily less torque feedback and less controllability at power on/off. In the objective metrics, the effect of the controller indicates a general decrease of the steering variance and an a decrease of the steering peak-to-peak values. The conclusion is that G-vectoring can enhance the lateral response and reduce the steering effort of a passenger car, and that the effects from G-vectoring can be felt by the driver.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-309517
Date January 2017
CreatorsHvitfeldt, Henrik
PublisherKTH, Fordonsdynamik
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationTRITA-AVE, 1651-7660 ; 2017:77

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