Analysis of display strategy for remaining driving range accuracy of battery electric vehicles

Abstract

The display accuracy of the remaining driving range in battery electric vehicles (BEVs) directly affects the user’s judgment of remaining energy and is a key factor determining range anxiety and travel confidence. However, significant differences exist among different BEV models in terms of displayed range deviation under identical operating conditions. Particularly in high-energy-consumption scenarios such as low-temperature environments with the heater on, the displayed remaining range of some models deviates substantially from the actual achievable range, causing confusion and even safety risks for users. To systematically investigate the current status and technical causes of this issue, this study selected ten mainstream BEV models and conducted real-vehicle tests under uniform low-temperature conditions using the continuous CLTC (China Light-Duty Vehicle Test Cycle) method. At the end of each cycle, the displayed remaining range and the actual accumulated driving range were recorded synchronously, and the absolute deviation and relative deviation were calculated. Based on the test data covering the full range from full charge to complete discharge, three typical display strategies for remaining driving range were identified: Strategy A (small initial deviation, stable deviation throughout the entire process), Strategy B (large initial deviation but with adaptive learning capability), and Strategy C (large deviation throughout without any learning process). This paper compares the deviation characteristics and representative vehicle performance of the three strategies in detail and infers their underlying technical principles. The results indicate that the technological development level in this field is highly uneven across the industry: some models have relatively mature algorithms, while others still exhibit obvious deficiencies. Finally, specific suggestions are proposed from the perspectives of algorithm optimization and standard formulation, aiming to improve the display accuracy of remaining driving range in BEVs and alleviate user range anxiety.