Abstract: In order to solve the problem of the lack of objective quantification in the evaluation of vehicle drivability within the industry, this paper designs an objective analysis system based on the subjective evaluation indicators of vehicle drivability. The codes for working condition recognition, signal processing and drivability index analysis are written through MATLAB App Designer to conduct the analysis of responsiveness, smoothness and differences in driving style for five typical working conditions of the vehicle, namely creep, starting acceleration, constant speed, sudden acceleration and deceleration, and coasting deceleration. The results show that the drivability analysis system has achieved good effects in the practical application of a certain plug-in hybrid electric vehicle (PHEV) model, significantly improving the efficiency of drivability development and contributing to promoting the standardization and automation process of objective analysis of vehicle drivability.

Key words: drivability analysis system; new energy vehicle; signal processing; work condition identification; evaluation index; MATLAB App Designer

摘要： 为了解决行业内对汽车驾驶性评价缺乏客观量化的问题，文章根据汽车驾驶性主观评 价指标设计了一套客观分析系统。通过 MATLAB App Designer 编写工况识别、信号处理和驾 驶性指标分析代码，对车辆蠕行、起步加速、匀速、急加急减和滑行减速五种典型工况进行 响应性、平顺性和驾驶风格差异性分析。结果可知，驾驶性分析系统在某插电式混合动力汽 车（PHEV）车型上的实践运用中取得了良好的效果，显著提高驾驶性开发效率，有助于推动 汽车驾驶性客观分析的标准化和自动化进程。

关键词: 驾驶性分析系统；新能源汽车；信号处理；工况识别；评价指标；MATLAB App Designer