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Modeling and Control Optimization for Peugeot 3008 Hybrid4

机译:PEUGEOT 3008 Hybrid4的建模与控制优化

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The energy management strategy is one of the key technologies for the design and development of hybrid electric vehicles (HEVs). In order to investigate the maximum potentials of various powertrain architectures and components in terms of fuel and emissions savings, an optimization for the energy management strategy is necessary. This paper will introduce one of the optimization-based energy management strategies, Dynamic Programming (DP). It is well known as it guarantees a global optimization of the power flow distribution between the combustion engine and the electric machines while taking into account the constraints of subsystems. In this paper, the principle of DP will be presented, and an application example in Peugeot 3008 Hybrid4 is given. The optimized strategy was simulated and analysis has been done based on the results with and without optimization. Even though DP is an off-line and non-causal optimization, it serves as a benchmark for comparison with the existing strategy. Thanks to DP, a rule-based strategy extracted from the DP optimization results is implemented and compared. This could be referred in the future strategy design.
机译:能源管理战略是混合动力电动汽车(HEV)设计和开发的关键技术之一。为了研究各种动力总成架构和组件在燃料和排放节省方面的最大潜力,需要对能源管理策略的优化是必要的。本文将介绍基于优化的能量管理策略之一,动态编程(DP)。众所周知,它保证了燃烧发动机和电机之间的电力流量分布的全局优化,同时考虑了子系统的约束。在本文中,将呈现DP的原理,给出了PEUGEOT 3008 Hybrid4中的应用示例。模拟优化的策略并根据具有和无优化的结果进行分析。尽管DP是离线和非因果优化,但它用作与现有策略进行比较的基准。由于DP,从DP优化结果中提取了一种基于规则的策略并进行比较。这可以在未来的策略设计中提及。

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