Title: Research on accurate estimation of energy consumption of new energy vehicles based on improved Kalman filter

Authors: Fangling Zhang

Addresses: College of Automobile Engineering, Hunan Communication Polytechnic, Changsha 410132, China

Abstract: Because the previous traditional methods have a series of obstacles in data acquisition, such as low accuracy, large error and long calculation time, an accurate estimation method of energy consumption of new energy vehicles based on improved Kalman filter is proposed. Taking TC275 chip as the core, a set of energy vehicle energy consumption data acquisition architecture is designed to filter the collected data. After changing the estimation calculation method, finally, the latest consumption estimates result is obtained by using the Kalman filter. The result is 88%, the maximum is 93%, the average energy consumption estimation error rate is 6.8%, and the estimation time fluctuates between 0.3 s and 0.7 s.

Keywords: improved Kalman filtering; new energy vehicles; accurate energy consumption estimation; data acquisition architecture; filtering.

DOI: 10.1504/IJICT.2024.140308

International Journal of Information and Communication Technology, 2024 Vol.25 No.2, pp.181 - 193

Received: 12 May 2022
Accepted: 24 Jun 2022
Published online: 02 Aug 2024 *

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