WLTC measuring driving cycle (power reserve measurement procedure for hybrids and electric vehicles)

Problem. The most effective energy management strategies for hybrid vehicles and electric are optimization-based strategies. These require prior knowledge of the driving cycle, which is not easy to predict. Goal. goal combine Worldwide harmonized light test cycle (WLTC) with short trips on small sections real traffic levels predict fuel consumption vehicles. Methodology. Research methods experimental mathematical. First all, eight characteristic parameters extracted from speed profiles used urban road in city Kharkiv under various conditions, as well WLTC trips. minimum distance algorithm compare determine three (heavy, medium, low traffic) Thus, each route determined using Google Maps, estimated by WLTC, adjusted distances levels. In addition, a numerical model vehicle was implemented. It accuracy predicting accordance proposed methodology. Originality. For methodology only GM information required input data; no other device or software required. This aspect makes extremely economical. Then, regulating shown unique valid all centers. universal. takes into account styles drivers around world, so can be applied any car driver. Prediction increased taking information, such distribution signals driver's typical gear shifting style. Results. results promising, average absolute percentage error between cycles projected ones 3.89 % consumption, increasing 6.80 consumption. Practical value. possibility forecasting an it possible develop systems HEVs that manage reserve ensure full travel traction limited zone (LTZ) minimize local air pollution; increase service life reserves (usually batteries) maintenance costs disposal problems reducing; optimize transmission-use efficiency due pollutants emissions reduction.