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首页> 外文期刊>International Journal of Automotive Technology >BEES-ALGORITHM-BASED OPTIMIZATION OF COMPONENT SIZE AND CONTROL STRATEGY PARAMETERS FOR PARALLEL HYBRID ELECTRIC VEHICLES
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BEES-ALGORITHM-BASED OPTIMIZATION OF COMPONENT SIZE AND CONTROL STRATEGY PARAMETERS FOR PARALLEL HYBRID ELECTRIC VEHICLES

机译：基于蜜蜂算法的混合动力电动汽车组件尺寸和控制策略参数的优化

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摘要

This paper presents the optimization of key component sizes and control strategy for parallel hybrid electric vehicles (parallel HEVs) using the bees algorithm (BA). The BA is an intelligent optimization tool that mimics the food foraging behavior of honey bees. Parallel HEV configuration and electric assist control strategy were used to conduct the research. The values of the key component size and the control strategy parameters were adjusted according to the BA to minimize the weighted sum of fuel consumption (FC) and emissions, while the vehicle performance satisfies the PNGV constraints. In this research, the software ADVISOR was used as the simulation tool, and the driving cycles FTP, ECE-EUDC and UDDS were employed to evaluate FC, emission and dynamic performance. The results demonstrate that the BA is a powerful tool in parallel HEV optimization to determine the optimal parameters of component sizes and control strategy, resulting in the improvement of FC and emissions without sacrificing vehicle performance. In addition, the BA is able to define a global solution with a high rate of convergence.
机译：本文提出了使用蜜蜂算法（BA）的并行混合动力电动汽车（并行HEV）的关键部件尺寸和控制策略的优化。 BA是一种智能优化工具，可模拟蜜蜂的食物觅食行为。并联混合动力汽车的配置和电动辅助控制策略被用来进行研究。根据BA调整关键部件尺寸和控制策略参数的值，以使燃料消耗（FC）和排放的加权总和最小化，同时车辆性能满足PNGV约束。在这项研究中，使用ADVISOR软件作为仿真工具，并使用FTP，ECE-EUDC和UDDS行驶周期来评估FC，排放和动态性能。结果表明，BA是并联HEV优化中确定零件尺寸和控制策略的最佳参数的有力工具，可在不牺牲车辆性能的情况下改善FC和排放。此外，BA可以定义具有较高收敛速度的全局解决方案。

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