Modelling and heuristic control of a parallel hybrid electric vehicle
Modelling and heuristic control of a parallel hybrid electric vehicle
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DOI：
10.1177/0954407014565633
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发表时间：
2015-01
期刊：
影响因子：
--
通讯作者：
Wisdom Enang;C. Bannister;C. Brace;Christopher Vagg
中科院分区：
文献类型：
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作者：
Wisdom Enang;C. Bannister;C. Brace;Christopher Vagg
与传统车辆动力系统相比，混合动力电动车辆提供了改善燃料消耗的潜力。当利用混合动力电动车辆架构时可以实现的燃料消耗益处取决于再生多少制动能量以及再生能量的利用程度。在文献中已经提出了许多功率管理策略。由于实时执行的前景，许多建议都集中在使用电子统计学上。尽管取得了研究进展，但启发式策略的关键挑战仍然是在行程结束时实现合理的燃油节省，而不会过度消耗电池的充电状态。鉴于这一挑战，本文提供了现有的能源管理文献的两个主要贡献。第一种是一种新颖的，简单但有效的启发式控制策略，采用可调参数（最大电机牵引功率的百分比）来决定控制序列，从而实现令人印象深刻的燃料节省，而不会过度消耗电池的最终充电状态（电池能量）。二是制动模式及其对动能再生影响的定量探索。所提出的启发式控制策略的潜力进行了探讨，在一系列的驾驶循环，反映了不同的驾驶场景。分析结果表明，在日本10-15个行驶循环中，可实现高达19.07%的燃油节省。与次优控制器的控制信号来自动态规划最优控制相比，我们提出的策略被发现是优于，因为它实现了令人印象深刻的实时燃料节省没有太多的惩罚电池的最终充电状态。还发现轻柔制动模式显著改善电动机的制动能量再生。
Hybrid electric vehicles offer the potential for fuel consumption improvements when compared with conventional vehicle powertrains. The fuel consumption benefits which can be realised when utilising the hybrid electric vehicle architecture are dependent on how much braking energy is regenerated, and how well the regenerated energy is utilised. A number of power management strategies have been proposed in literature. Owing to the prospect of real-time implementation, many of these proposals have centred on the use of heuristics. Despite the research advances made, the key challenge with heuristic strategies remains achieving reasonable fuel savings without over-depleting the battery’s state of charge at the end of the trip. In view of this challenge, this paper offers two main contributions to existing energy management literature. The first is a novel, simple but effective heuristic control strategy which employs a tuneable parameter (the percentage of the maximum motor tractive power) to decide the control sequence, such that impressive fuel savings are achieved without over-depleting the final state of charge of the battery (the battery energy). The second is the quantitative exploration of braking patterns and its impact on kinetic energy regeneration. The potential of the proposed heuristic control strategy was explored over a range of driving cycles which reflect different driving scenarios. The results from this analysis show that fuel savings of as much as 19.07% can be achieved over the Japan 10–15 driving cycle. In comparison with a suboptimal controller whose control signals were derived from dynamic programming optimal control, our proposed strategy was found to be outperforming, in that it achieved impressive real-time fuel savings without much penalty to the final state of charge of the battery. Gentle braking patterns were also found to significantly improve brake energy regeneration by the electric motor.