The invention discloses an electrically-driven commercial vehicle braking energy recovery method considering a braking intention, which is characterized in that a driver braking intention identification process based on a hidden Markov-interval type-2 fuzzy neural network can effectively process uncertain information in a braking process of a driver and a braking system; the driver braking intention recognition precision is obviously improved; according to the braking energy recovery process based on the driver braking intention, the driver braking intention is fully considered for braking torque distribution, meanwhile, the advantage of rapid response of a regenerative braking system is utilized, the problem of slow response in the commercial vehicle friction braking process is solved, the braking safety is fully guaranteed, and the braking comfort is improved.
本发明公开一种考虑制动意图的电驱商用车制动能量回收方法,其中基于隐藏马尔可夫‑区间二型模糊神经网络的驾驶员制动意图识别过程,能够有效处理驾驶员与制动系统制动过程中的不确定信息,显著提升驾驶员制动意图识别精度;基于驾驶员制动意图的制动能量回收过程,充分考虑驾驶员制动意图进行制动力矩分配,同时利用再生制动系统响应迅速的优势,弥补商用车摩擦制动过程的响应缓慢问题,充分保障制动安全性和改善制动舒适性。
Electric drive commercial vehicle braking energy recovery method considering braking intention
一种考虑制动意图的电驱商用车制动能量回收方法
2025-01-07
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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