Development of a Model-Based Drive-By-Wire System for Level 4 Automated Vehicles

J. Perrin, Stanislav Gankov, Walter Downing, S. Rengarajan, Scott Hotz, Piyush S Bhagdikar, Joshua Alden
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Abstract

Eco-driving algorithms enabled by Vehicle to Everything (V2X) communications in Connected and Automated Vehicles (CAVs) can reduce energy consumption by generating energy-efficient speed trajectories. One of the key challenges from an implementation perspective is to be able to execute the desired speed or acceleration commands closely. A SAE Level 4 CAV is being developed in conjunction with eco-driving to help address this issue. A custom drive-by-wire (DBW) system was built for a Honda Clarity plug-in hybrid electric vehicle (PHEV) to enable precise actuation of accelerator, brake, and steering. Transient vehicle data collected over a variety of drive cycles was synthesized to model pedal characteristics as a function of speed and target acceleration. The developed transfer functions enabled feed-forward control of the accelerator and brake pedals with a closed-loop controller handling the rest. Low speed steering maneuvers were performed to characterize the required steering torque to maintain a steady-state steering angle at different vehicle speeds. Advanced vehicle simulation software was used to understand vehicle dynamics and wheel angle response at different speeds. The development of a model based DBW system along with implementation details and results are presented.
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基于模型的4级自动驾驶线控系统开发
网联和自动驾驶汽车(cav)中的车联网(V2X)通信支持的生态驾驶算法可以通过生成节能的速度轨迹来降低能耗。从实现的角度来看,关键的挑战之一是能够紧密地执行所需的速度或加速命令。为了解决这一问题,一款SAE 4级自动驾驶汽车正在与生态驾驶技术相结合。本田Clarity插电式混合动力汽车(PHEV)采用了定制的线控驱动(DBW)系统,可以精确驱动油门、刹车和转向。该方法综合了不同行驶周期的瞬时车辆数据,建立了踏板特性随速度和目标加速度的函数模型。开发的传递函数实现了油门和刹车踏板的前馈控制,其余部分由闭环控制器处理。通过低速转向机动来表征在不同车速下保持稳态转向角所需的转向力矩。采用先进的车辆仿真软件,了解不同车速下的车辆动力学和车轮角响应。介绍了基于模型的DBW系统的开发、实现细节和结果。
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