MATLAB's Automobile Power Performance and Intelligent Chromatography of Battery Capacity Decay

Chunmei Chen
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Abstract

The dynamic performance of a vehicle is one of the most important indicators to evaluate the driving state of the vehicle. For cars, the power performance and battery capacity of the car are directly related to the use rate and evaluation of the car owners. Therefore, in order to improve the effective service life of vehicles, reduce environmental pollution and reduce economic costs, it is necessary to analyze the vehicle power performance and battery. In this paper, the experimental method and comparison method are mainly used, and different algorithms are used to study the vehicle power performance and battery capacity attenuation. The experimental results show that the error of AHP in vehicle battery capacity identification and dynamic performance detection is less than 2%, so the overall design of this paper meets the expected design requirements.
汽车功率性能与电池容量衰减的MATLAB智能色谱
车辆的动态性能是评价车辆行驶状态的重要指标之一。对于汽车来说,汽车的动力性能和电池容量直接关系到车主的使用率和评价。因此,为了提高车辆的有效使用寿命,减少环境污染,降低经济成本,有必要对车辆动力性能和电池进行分析。本文主要采用实验法和对比法,采用不同的算法对车辆动力性能和电池容量衰减进行研究。实验结果表明,AHP在汽车电池容量识别和动态性能检测中的误差小于2%,因此本文的总体设计满足了预期的设计要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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