The invention relates to a vehicle electric control suspension self-adaptive control method based on front vehicle intention recognition, which comprises the following steps of: acquiring multi-source data, and acquiring state data of a vehicle and a front vehicle based on the multi-source data; predicting brake pedal displacement and speed of the preceding vehicle based on response surface modeling; an optimized Transform model is put forward to identify a vehicle driving intention; establishing a dynamical model to calculate a vehicle body pitch angle speed; the expected active force of the electric control suspension is solved through the pitch angular velocity deviation; establishing a damper damping model based on the oil gas flow equation; determining an optimal control current according to the current-external characteristic curve; according to the method, the influence of the driving intentions of the automobile and the front automobile on the pitching vibration of the automobile body can be considered at the same time, the safety, comfort, smoothness, maneuverability and other factors are considered at the same time, the established suspension control model is more intelligent, and a certain reference value is achieved for formulating an automobile body pitching suppression strategy.
本发明涉及基于前车意图识别的车辆电控悬架自适应控制方法,包括以下步骤:获取多源数据,基于所述多源数据获取自车和前车的状态数据;基于响应面建模预测前车的制动踏板位移和速度;提出优化的Transformer模型识别车辆行驶意图;建立动力学模型计算车身俯仰角速度;通过俯仰角速度偏差求解电控悬架期望主动力;基于油气流量方程建立减振器阻尼模型;根据电流‑外特性曲线确定最佳控制电流;本发明可以同时考虑自车与前车行驶意图对车身俯仰振动的影响,并还同时将安全性、舒适性、平顺性和操纵性等因素考虑在内,所建立的悬架控制模型更加智能化,对汽车车身俯仰抑制策略的制定具有一定的参考价值。
Vehicle electric control suspension self-adaptive control method based on front vehicle intention recognition
基于前车意图识别的车辆电控悬架自适应控制方法
2024-08-27
Patent
Electronic Resource
Chinese
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