Research on Whole-Vehicle Energy Efficiency Analysis and Optimization Based on Multi-Sensor Data Acquisition

Abstract

This study addresses the existing issues in energy management of traditional automobiles and proposes a series of optimization approaches. Currently, the application of sensors in the automotive field is becoming increasingly extensive. Various types of sensors are arranged in different vehicle systems according to their functions to realize the monitoring of the vehicle's overall energy flow. Furthermore, by combining with artificial intelligence, real-time management of the vehicle's overall energy flow is achieved. In this paper, the functions of various sensors are elaborated in detail, along with their selection and arrangement; the connection between data transmission and CAN bus is discussed to realize signal frequency modulation and transmission; and prospective suggestions for combining with artificial intelligence neural networks are put forward to promote the further development of energy management. Meanwhile, this research establishes connections with studies related to intelligent connected vehicles, facilitating the intelligent development of fuel-powered vehicles, battery electric vehicles, and hybrid electric vehicles. It aims to achieve the clean and energy-efficient development of various types of automobiles and enhance the efficiency of energy utilization.