基于越野工况预测的混合动力履带车辆能量管理策略

针对越野环境下混合动力履带车辆能量管理问题，设计了一种基于越野工况预测的能量管理策略。使用车载传感器测量车速、车辆姿态角，基于支持向量机进行路况分类，建立越野路况识别模型；针对不同的越野路况，基于马尔可夫链利用历史行驶车速和加速度建立速度预测模型；以某混合动力履带装甲车辆为对象，设计模型预测控制策略进行能量管理控制。研究结果表明，所提出的能量管理策略能够完成越野环境下履带车辆能量管理控制目标，有利于改善混合动力履带车辆性能。

Energy Management of Hybrid Electric Tracked Vehicle Based on Off-road Condition Prediction

An energy management system based on off-road condition prediction is designed for the energy management of hybrid tracked vehicle in off-road environment. The vehicle speed and attitude are measured by using the vehicular sensor, and the off-road condition is classified based on support vector machine. A speed prediction model based on Markov chain is established using historical driving speed and acceleration for different off-road conditions. A model predictive control strategy based on off-road condition prediction is designed for energy management of hybrid electric tracked vehicle. The simulated results show that the proposed energy management system can be used to achieve the control objectives and improve the performance of hybrid electric tracked vehicles in off-road environment.