论文标题
具有不同传输技术的电动汽车的时间最佳控制策略
Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies
论文作者
论文摘要
本文提出了模型和优化方法，以快速计算配备电池电动动力总成的赛车的可实现的圈速。具体而言，我们首先得出了电动动力总成的准连接模型，包括电池，电动机和两种传输技术：单速固定齿轮和连续可变的变速器（CVT）。其次，假设是专家驱动程序，我们为给定的驾驶路径制定了时间优势控制问题，并使用迭代凸优化算法来解决它。最后，我们通过将可实现的性能与单速变速箱和勒芒轨道上的CVT进行比较，展示了我们的框架。我们的结果表明，CVT可以通过更高效率和更具攻击性的运动操作来平衡其较低的效率和更高的重量，并且显着优于固定的单齿轮传输。
This paper presents models and optimization methods to rapidly compute the achievable lap time of a race car equipped with a battery electric powertrain. Specifically, we first derive a quasi-convex model of the electric powertrain, including the battery, the electric machine, and two transmission technologies: a single-speed fixed gear and a continuously variable transmission (CVT). Second, assuming an expert driver, we formulate the time-optimal control problem for a given driving path and solve it using an iterative convex optimization algorithm. Finally, we showcase our framework by comparing the performance achievable with a single-speed transmission and a CVT on the Le Mans track. Our results show that a CVT can balance its lower efficiency and higher weight with a higher-efficiency and more aggressive motor operation, and significantly outperform a fixed single-gear transmission.
