ABSTRACT

Aiming at the poor real-time performance of equivalent fuel consumption minimisation strategy (ECMS), the energy efficiency is low. A discrete adaptive equivalent fuel consumption minimisation strategy (DA-ECMS) which can adapt to different conditions and navigation characteristics is proposed. In order to improve the efficiency of battery power, a linear descent state of charge (SOC) trajectory planning and its range are proposed for the known mileage. For the unknown mileage, the interval average value based on the maximum allocation probability of historical mileage is proposed as the reference mileage for SOC planning. In order to verify the effectiveness of the proposed algorithm, it is compared with charge depleting /charge sustaining (CD-CS) strategy and dynamic programming (DP) strategy. The simulation results show that compared with CD-CS strategy and DP strategy, the DA-ECMS strategy can reasonably distribute the torque of engine and motor, effectively maintain the battery power and achieve lower fuel consumption.

摘要

针对等效油耗最小化策略（ECMS）实时性差，能效低的问题。提出了一种适应不同工况和导航特性的离散自适应等效油耗最小化策略（DA-ECMS）。为了提高电池功率的效率，针对已知里程，提出了一种线性下降的充电状态（SOC）轨迹规划及其范围。针对未知里程，提出基于历史里程最大分配概率的区间平均值作为SOC规划的参考里程。为了验证所提算法的有效性，将其与电荷耗尽/电荷维持（CD-CS）策略和动态规划（DP）策略进行了比较。