基于智能模型车的操纵稳定性实验平台设计

Design of Experimental Platform for Handling Stability Based on Intelligent Model Vehicle

摘要

为适应线控底盘快速发展背景下人才培养的需求, 针对汽车操纵稳定性实验教学中存在的实施难度大、成本高及安全风险等问题, 设计并开发了一套操纵稳定性实验教学平台。该平台基于智能模型车底盘开发, 集成摄像头、陀螺仪、轮速等传感器, 可支持车辆极限状态下的实验测试。实验管理软件基于Matlab平台开发, 通过无线通讯实现远程配置和控制算法加载, 具备较高的灵活性和拓展性。基于该平台开展了多项操纵稳定性及底盘控制相关的实验验证, 实验结果表明, 虽然智能模型车在响应频率及相位延迟特性上与实车存在差异, 并且其表现出更高的动态响应能力和更低的相位延迟, 但其整体变化趋势与实车一致, 可有效验证理论教学中的相关内容。

Abstract

To meet the demand for talent cultivation in the context of the rapid development of drive-by-wire chassis, and to tackle issues such as high implementation difficulty, high costs, and safety risks in experimental teaching of vehicle handling and stability, an experimental teaching platform for handling and stability has been designed and developed. The platform is developed based on an intelligent model vehicle chassis, integrating sensors including cameras, gyroscopes, and wheel speed sensors, which enables experimental tests under extreme vehicle operating conditions. The experiment management software is developed on the Matlab platform, facilitating remote configuration and control algorithm loading through wireless communication, featuring high flexibility and scalability. A number of experiments related to handling stability and chassis control have been conducted based on this platform. The experimental results demonstrate that the intelligent model vehicle differs from real vehicles in terms of response frequency and phase delay characteristics, exhibiting higher dynamic response capability and lower phase delay. Its overall trend is consistent with that of real vehicles, which can effectively verify the relevant content in theoretical instructional.

关键词

操纵稳定性 / 实验教学平台 / 无线控制 / 智能模型车

Key words

handling stability / experimental teaching platform / wireless control / intelligent model vehicle

参考文献

[1] 张雷, 徐同良, 李嗣阳, 等. 全线控分布式驱动电动汽车底盘协同控制研究综述[J]. 机械工程学报, 2023, 59(20): 261-280.

[2] ZHANG L, XU T L, LI S Y, et al. Review on Cooperative Control of X-by-Wire Distributed Drive Electric Vehicle Chassis[J]. Journal of Mechanical Engineering, 2023, 59(20): 261-280.

[3] 张丽霞, 郑超艺, 潘福全, 等. 基于频率响应特性的汽车操纵稳定性分析[J]. 山东科技大学学报(自然科学版), 2021, 40(3): 96-104,115.

[4] ZHANG L X, ZHENG C Y, PAN F Q, et al. Analysis of Vehicle Handling Stability Based on Frequency Response Characteristics[J]. Journal of Shandong University of Science and Technology (Natural Science), 2021, 40(3): 96-104,115.

[5] 王钰明, 顾添翼, 陈一枭, 等. 虚拟仿真取代实车测试的高校教学研究[J]. 实验室研究与探索, 2020, 39(2): 79-82,130.

[6] WANG Y M, GU T Y, CHEN Y X, et al. Research on Virtual Simulation Replacing Real Vehicle Test in University Teaching[J]. Research and Exploration in Laboratory, 2020, 39(2): 79-82,130.

[7] 王威, 宋玉玲, 师帅兵. 从实际出发探索关于《汽车理论》教学改革的方法[J]. 教育教学论坛, 2019(19): 124-126.

[8] WANG W, SONG Y L, SHI S B. Practical Exploration of Teaching Reform Methods for “Automobile Theory”[J]. Education Teaching Forum, 2019(19): 124-126.

[9] 靳畅, 周毅, 万晓, 等. 基于多体动力学模型的汽车操稳性和平顺性虚拟教学实验[J]. 实验室研究与探索, 2020, 39(3): 190-193, 197.

[10] JIN C, ZHOU Y, WAN X, et al. Virtual Teaching Experiment of Vehicle Handling Stability and Ride Comfort Based on Multi-Body Dynamics Model[J]. Research and Exploration in Laboratory, 2020, 39(3): 190-193, 197.

[11] 王艳丽, 杨烁, 吴兵. 基于驾驶模拟的本科实验教学内容设计[J]. 实验室研究与探索, 2020, 39(11): 171-174.

[12] WANG Y L, YANG S, WU B. Design of Undergraduate Experimental Teaching Content Based on Driving Simulation[J]. Research and Exploration in Laboratory, 2020, 39(11): 171-174.

[13] 李正华, 辛玉林, 任敏, 等. 四轮驱动车辆纵向速度估计方法研究[J]. 吉林大学学报(信息科学版), 2025, 43(1): 49-57.

[14] LI Z H, XIN Y L, REN M, et al. Study on Estimation Method of Longitudinal Velocity for Four-Wheel-Drive Vehicle[J]. Journal of Jilin University (Information Science Edition), 2025, 43(1): 49-57.

[15] 赖盛英, 谢鑫鑫, 樊伟征, 等. 基于OpenMV图像识别的自主迷宫寻宝小车[J]. 现代电子技术, 2024, 47(5): 70-74.

[16] LAI S Y, XIE X X, FAN W Z, et al. Autonomous Maze Treasure-Hunting Car Based on OpenMV Image Recognition[J]. Modern Electronics Technique, 2024, 47(5): 70-74.

[17] 姚楷, 王星博, 黄坚, 等. 基于全光接入网的智慧实验室管控系统[J]. 吉林大学学报(信息科学版), 2025, 43(3): 689-694.

[18] YAO K, WANG X B, HUANG J, et al. Intelligent Laboratory Management and Control System Based on All Optical Access Network[J]. Journal of Jilin University (Information Science Edition), 2025, 43(3): 689-694.

[19] 王先云, 王淑芬, 王金波, 等. 汽车稳态转向特性测试方法分析与对比[J]. 机械设计与制造, 2023(11): 295-299.

[20] WANG X Y, WANG S F, WANG J B, et al. Analysis and Comparison of Test Methods for Vehicle Steady-State Steering Characteristics[J]. Machinery Design & Manufacture, 2023(11): 295-299.

[21] 郭孔辉, 黄朝胜, 吴振昕, 等. 汽车操纵稳定性试验方法: GB/T6323-2014[S]. 北京: 中国标准出版社, 2014.

[22] GUO K H, HUANG C S, WU Z X, et al. Test Methods for Automobile Handling Stability: GB/T 6323-2014[S]. Beijing: Standards Press of China, 2014.

[23] 刁庶, 蒋川东, 田宝凤, 等. 误差理论与数据处理课程综合性实验平台设计[J]. 吉林大学学报(信息科学版), 2023, 41(6): 969-975.

[24] DIAO S, JIANG C D, TIAN B F, et al. Design of Comprehensive Experimental Platform for Error Theory and Data Processing[J]. Journal of Jilin University (Information Science Edition), 2023, 41(6): 969-975.

[25] 陈齐平, 田玥, 王亮, 等. 分布式驱动电动汽车操纵稳定性影响因素分析研究[J]. 现代制造工程, 2021(1): 12-16, 21.

[26] CHEN Q P, TIAN Y, WANG L, et al. Analysis of Influencing Factors on Handling Stability of Distributed Drive Electric Vehicles[J]. Modern Manufacturing Engineering, 2021(1): 12-16, 21.

[27] 黄乾生, 张彩萍, 赵福全, 等. ARMAX模型在角脉冲试验数据后处理中的应用[J]. 汽车技术, 2011(6): 51-53.

[28] HUANG Q S, ZHANG C P, ZHAO F Q, et al. Application of ARMAX Model in Post-Processing of Angle Pulse Test Data[J]. Automobile Technology, 2011(6): 51-53.

[29] 谭子胡, 龚贤武, 赵轩, 等. 分布式双电机后驱电动汽车的横摆稳定性控制策略[J]. 甘肃农业大学学报, 2024, 59(3): 318-326.

[30] TAN Z H, GONG X W, ZHAO X, et al. Yaw Stability Control Strategy for Distributed Dual-Motor Rear-Wheel Drive Electric Vehicles[J]. Journal of Gansu Agricultural University, 2024, 59(3): 318-326.

[31] 张奇祥, 王金湘, 张伊晗, 等. 智能电动汽车线控制动关键技术与研究进展[J]. 机械工程学报, 2024, 60(10): 339-365.

[32] ZHANG Q X, WANG J X, ZHANG Y H, et al. Key Technologies and Research Progress of Brake-by-Wire for Intelligent Electric Vehicles[J]. Journal of Mechanical Engineering, 2024, 60(10): 339-365.

基金资助

吉林大学实验技术基金资助项目(SYXM2024b008)

吉林省高等教育教学改革课题基金资助项目(JLJY202397963817)

吉林大学本科教改工科集群重点基金资助项目(2023XZD050)

吉林省高教科研课题基金资助项目(JGJX2022C10)