Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles
Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles
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DOI：
10.3390/en8043225
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发表时间：
2015-04-01
期刊：
影响因子：
3.2
通讯作者：
Zhang, Jieli
中科院分区：
文献类型：
--
作者：
Wang, Ximing;He, Hongwen;Zhang, Jieli
为了探讨动态规划在插电式混合动力汽车能量管理策略中的应用问题，引入了插电式混合动力客车动力总成，建立了其动态控制模型。在实现动态规划求解混合动力电动汽车最优控制问题时，考虑了相关变量的离散化求解及其可行域的边界问题。系统地研究了DP算法在优化精度和计算量之间的权衡问题。由于克服了数字问题，基于DP的方法有可能提高PHEV的节油潜力。将基于DP的控制策略与传统控制策略进行了比较，结果表明燃油经济性提高了约20%。
To explore the problems associated with applying dynamic programming (DP) in the energy management strategies of plug-in hybrid electric vehicles (PHEVs), a plug-in hybrid bus powertrain is introduced and its dynamic control model is constructed. The numerical issues, including the discretization resolution of the relevant variables and the boundary issue of their feasible regions, were considered when implementing DP to solve the optimal control problem of PHEVs. The tradeoff between the optimization accuracy when using the DP algorithm and the computational burden was systematically investigated. As a result of overcoming the numerical issues, the DP-based approach has the potential to improve the fuel-savings potential of PHEVs. The results from comparing the DP-based strategy and the traditional control strategy indicate that there is an approximately 20% improvement in fuel economy.