智能网联汽车台架试验平动惯量模拟系统开发
谭世威1，黄万友1*，唐向臣2，范子苑1，朱佩东1，郝翔1
1.山东交通学院汽车工程学院，山东 济南 250357；2.山东新凌志检测技术有限公司，山东 济南 250000
摘要：为有效评价智能网联汽车性能，开发应用于智能网联汽车台架试验的平动惯量模拟系统。设计平动惯量模拟系统的机械结构和基于动态矩阵预测控制（dynamic matrix predictive control，DMC）的电惯量模拟控制策略，试验台采用机械惯量与电惯量耦合的方式实现汽车平动惯量模拟。通过限速标志识别及响应场景测试、人行横道线识别及响应场景测试验证平动惯量模拟系统的有效性。实车测试结果表明：电惯量模拟施加实际转矩能够有效跟随理论转矩，误差小于1 N·m，时间滞后约0.1 s，满足惯量模拟的要求。通过机械惯量与电惯量耦合的方式，可在测试过程中准确还原车辆在真实路面加速、减速和制动的行驶状态，实现了在室内试验环境下对智能网联汽车进行台架检测。
关键词：智能网联汽车；平动惯量模拟；机械惯量与电惯量耦合；DMC
Development of translation
inertia simulation test bench for intelligent and connected vehicle
TAN Shiwei1, HUANG
Wanyou1*, TANG Xiangchen2, FAN Ziyuan1, ZHU Peidong1, HAO Xiang1
1.College of Automotive
Engineering, Shandong Jiaotong University, Jinan 250357, China;2. Shandong
Xinlingzhi Detection Technology Co., Ltd., Jinan 250000, China
Abstract：To effectively evaluate the performance of
intelligent and connected vehicle，a translation inertia simulation system applied to
the test of intelligent networked vehicle platform is developed. The mechanical
structure of the translation inertia simulation system and the electric inertia
simulation control strategy based on dynamic matrix predictive control (DMC)
are designed. The vehicle translation inertia is simulated by coupling the
mechanical inertia with the electric inertia. The effectiveness of the
translation inertia simulation system is verified through speed limit sign
recognition and response scenario test, crosswalk line recognition and response
scenario test. The results show that the actual torque applied by electric
inertia simulation can effectively follow the theoretical torque, the error is
less than 1 N·m, and the time lag is about 0.1 s, meeting the requirements of
inertia simulation. Through the coupling of mechanical inertia and electrical
inertia, the driving state of vehicle acceleration, deceleration and braking on
the real road can be accurately restored during the test process, and the
platform detection of intelligent network connected vehicle in the indoor test
environment is realized.
Keywords:intelligent and connected vehicle;
translation inertia simulation; coupling of mechanical inertia and electric
inertia; DMC
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