In the research regarding plug-in hybrid electric vehicle energy management strategies, the use of global positioning system and intelligent transportation system information to optimize control strategy will be the future trend, and this is relatively scarce in the existing researches. Therefore, an adaptive energy management strategy of plug-in hybrid electric vehicle based on trip characteristic prediction was investigated in this paper, and the main achievement is to suggest a way to determine the reference state of charge for control strategy using global positioning system or intelligent transportation system information. First, given the historical driving data of a driver by global positioning system, the important location points of the commuting routes were discovered. Second, a Markov trajectory prediction model based on the key points was established to predict and identify the driving routes. As such, the trip characteristics, such as information of mileage and driving cycles, were collected. Then, five typical driving cycles were extracted. According to the trip characteristic information, the optimal battery state of charge consumption regulation of plug-in hybrid electric vehicle was realized using a dynamic programming algorithm. This algorithm was applied to the research of state of charge trajectory planning algorithm. Moreover, an adaptive equivalent consumption minimization strategy based on state of charge planning trajectory was developed. The comparison of different control strategies proved that the developed strategy uses battery power reasonably and reduces fuel consumption of the vehicle.

中文翻译：

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基于行程特性预测的插电式混合动力汽车能量管理

在插电式混合动力汽车能源管理策略的研究中，利用全球定位系统和智能交通系统信息来优化控制策略将是未来的趋势，这在现有研究中相对较少。因此，本文研究了一种基于行程特性预测的插电式混合动力汽车自适应能量管理策略，主要成果是提出一种利用全球定位系统或智能控制策略确定参考充电状态的方法。交通系统信息。首先，通过全球定位系统给出驾驶员的历史驾驶数据，发现通勤路线的重要位置点。第二，建立了基于关键点的马尔可夫轨迹预测模型，对行车路线进行预测和识别。因此，收集了行程特征，例如里程和驾驶周期信息。然后，提取了五个典型的驾驶循环。根据行程特征信息，采用动态规划算法实现插电式混合动力汽车最佳电池充电状态调节。将该算法应用于荷电状态轨迹规划算法的研究。此外，还开发了一种基于充电状态规划轨迹的自适应等效消耗最小化策略。不同控制策略的比较证明，所开发的策略合理利用了电池电量，降低了车辆的油耗。