Abstract: As a key component of smart car autonomous driving technology, automatic parking has become a focus of attention and research in the industry. Since the existing automatic parking systems are based on reversing, and most new electric vehicle charging ports are installed in the front of the car, this paper designs a parking method for the head of the car. The process of this method mainly includes the kinematics modeling of the vehicle, then the path planning is based on geometric derivation according to the relative position of the car and the garage, finally the PID is used to track and control the parking process. In addition, compared with the existing parking tracking control algorithm, this paper adopts the PID path tracking control algorithm, which effectively simplifies the algorithm structure and overcomes the problem of “computational explosion”. It has strong robustness, and conforms to the existing new models and the demand for the parking of electric cars. Finally, by building a test model car in CarSim, and using the Matlab platform to conduct a joint simulation experiment, this paper effectively solves that the traditional model can not comprehensively analyze the motion simulation of the automatic parking process, the simulation results verify the effectiveness of the tracking control method designed in this paper.

Key words: electric vehicles, head parking, path planning, PID tracking control, co-simulation

摘要： 自动泊车作为智能汽车自动驾驶技术的一个关键组成部分，已成为业界关注和研究的热点。现有的自动泊车系统都是基于倒车实现，而大多数新型电动汽车充电口安装在车头，因此设计了车头泊入的泊车新方法。该方法首先对车辆进行运动学建模，然后根据汽车与车库的相对位置基于几何推导进行路径规划，最后利用PID对泊车过程进行跟踪控制。采用PID路径跟踪控制算法与现有泊车跟踪控制算法相比较，有效简化了算法结构，克服了“计算爆炸”的问题，具有较强的鲁棒性，符合现有新型电动汽车车头泊入的需求。使用Matlab和CarSim联合仿真实车参数模型车的运动学模型，完善了传统泊车过程模型的运动仿真分析，仿真结果验证了所设计的跟踪控制方法的有效性。

关键词: 电动汽车, 车头泊入, 路径规划, PID跟踪控制, 联合仿真