基于修正最大传递转矩估计的电动汽车牵引控制系统

Ziyou Song, Jianqiu Li, Liangfei Xu, M. Ouyang
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引用次数: 6

摘要

不检测车速的电动汽车牵引控制系统(TCS)越来越受到人们的关注。TCS中最具挑战性的问题是采用间接控制输入控制驱动轮。最大传递扭矩估计(MTTE)方法是一种有效的防滑控制方法,但该方法在恒定扭矩条件下,即使路面湿滑,也不能充分利用粘结力,因此存在保守性。为此,本文提出了一种具有不同松弛因子的改进最大传递力矩估计算法。通过与原有控制方法的仿真结果分析比较,验证了M-MTTE的防滑鲁棒性,并取得了较好的加速度控制效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traction Control System for EV Based on Modified Maximum Transmissible Torque Estimation
Traction control system (TCS) of electric vehicles (EVs) without detecting vehicle velocity is drawing more and more attention. The most challenging problem in TCS is controlling the drive wheel with indirect control inputs. The maximum transmissible torque estimation (MTTE) method which is effective in terms of antiskid control has been proposed, however, this method is conservative because it cannot take sufficient advantage of adhesive force under constant torque condition even if the road is slippery. Therefore, a modified maximum transmissible torque estimation (M-MTTE) algorithm with a various relaxation factor is proposed in this paper. By analyzing and comparing the simulation results with prior control method, it is validated that M-MTTE is robust on antiskid control and achieves a better acceleration control effect.
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