Modeling and Analysis of Vehicle Energy Consumption
Abstract
The unreasonable acceleration and deceleration of vehicles on urban roads at signalized intersections will result in extra fuel consumption. In order to solve this problem, a genetic algorithm is used to analyze vehicle energy consumption at signalized intersections. A vehicle structure model is constructed and dynamic analysis is carried out. A model of a signalized road intersection is established to ensure the validity and coverage of a continuous signalized intersection scenario. In order to reduce the energy consumption, the vehicle operation control mode of the signalized intersection is optimized and combined, in the vehicle energy consumption analysis model based on a genetic algorithm, the corresponding vehicle speed curves under different operation levels or at different signalized intersections are calculated; the population size is 200, the probability of genetic
variation is 0.001, and the genetic algebra is 50. The optimal traction energy consumption of vehicles moving along the speed curve is calculated by the optimization method of vehicle energy consumption based on a genetic algorithm. The results show that, compared with the weighted coefficient analysis method, the vehicle running time and total fuel consumption at the signalized intersection optimized by this method are reduced by 5.7% and 20.5% respectively. With this method, the fuel consumption of the optimized vehicle engine is lower than that of the weighted coefficient analysis method by 5.33 g; hence, the analysis of the results of the proposed method shows that its performance is better in terms of its energy consumption optimization.
Keywords: Genetic algorithm; Signal lamp; Intersection; Vehicle operation; Energy consumption; Modeling and analysis
Cite As
J.Liu, Y. Jia, "Modeling and Analysis of Vehicle Energy Consumption", Engineering Intelligent Systems, vol 29. no, 2,
pp. 97-102, 2021.