2 research outputs found
Contribution to the investigation of the influence of tire non-uniformity on the lateral tire characteristics
Tire models are widely used in research in the field of vehicle dynamics and noise, and especially in the simulation of their movement under the action of forces and moments. In general case, we distinguish theoretical models defined on the basis of tire construction and empirical or semi-empirical models based on experimental tests. In addition, a combination of these two types of models can also produce tire models. In practice, there is a very wide range of mathematical tire models defined using finite element analysis, by approximation of polynomials of different degrees, by approximation of magic formula, etc. In this paper, an attempt is made to calculate non-stationary lateral characteristics of tires on the basis of experimental stationary lateral characteristics, using two-parameter higher level polynomials. This polynomials define the tire lateral characteristics, and take into account their non-uniformity. More specifically, the lateral characteristics are approximated as a function of the dynamic change of the slip angle, radial load due to tire non-uniformity and time
Method for acquisition and analysis of operating parameters of a supercapacitor electric bus
Smanjenje emisije Å”tetnih gasova jedan je od glavnih motiva za sve veÄu zastupljenost elektriÄnih autobusa u javnom gradskom prevozu Å”irom sveta. Usled toga, sve veÄi znaÄaj se pridaje smanjenju potroÅ”nje energije kod elektroautobusa. Jedan od najefikasnijih naÄina za smanjenje potroÅ”nje energije, odnosno poveÄanje autonomije kretanja, je odgovarajuÄa edukacija vozaÄa. Sagledavanjem trenutno dostupnih istraživanja, može se uvideti da se veÄina istraživanja bavi procenom potroÅ”nje energije elektrovozila na osnovu matematiÄkih modela i simulacija, dok je veliki deo ispitivanja sproveden u laboratorijskim uslovima, na dinamometrijskim valjcima. Ovim radom je prikazan postupak akvizicije i analize radnih parametara elektroautobusa koji kao izvor energije koristi superkondenzator. Postupak je koriÅ”Äen pri ispitivanju elektroautobusa, kako u realnim uslovima eksploatacije, tako i na poligonskim ispitivanjima, gde je sprovedeno viÅ”e razliÄitih voznih ciklusa. Akvizicija podataka je izvrÅ”ena pomoÄu postojeÄih prikljuÄaka na CAN magistralu vozila (gde je moguÄe pratiti razliÄite radne parametre elektroautobusa), merenjem odreÄenih analognih signala i koriÅ”Äenjem nekoliko davaÄa. Analizom prikupljenih podataka je moguÄe utvrditi uticaj razliÄitih stilova vožnje na ekonomoiÄnost elektroautobusa i, na osnovu toga, definisati preporuÄeni stil vožnje. TakoÄe, prikupljeni podaci omoguÄuju utvrÄivanje utroÅ”ene/rekuperisane energije za razliÄite režime vožnje.Reducing the air pollution is one of the main reasons for increased usage of electric buses in city public transport around the world. As a result, reducing the energy consumption of electric buses is becoming increasingly important. One of the most effective ways to reduce energy consumption, and therefore increase vehicle autonomy, is proper driver education. Based on the conducted analysis, it can be seen that the most of researches deal with the estimation of the energy consumption in electric vehicles with the help of mathematical models and simulations, while, on the other side, majority of testing was conducted in laboratory conditions, on chassis dynamometers. This paper presents the method for acquisition and analysis of operating parameters of the electric bus that uses a supercapacitor as an energy source. This method was used during the testing of electric bus in real operating conditions, and on a test track where different driving cycles were performed. Data acquisition was conducted by using the existing CAN bus data and some additional sensors. By analysing the collected data, it is possible to determine the impact of different driving styles on the efficiency of the electric bus and, based on that, to define the recommended driving style. Also, the collected data can be used for determination of the energy consumed/recuperated during different driving regimes