考虑电池最优放电深度的智能网联PHEV速度规划和能量管理协同控制研究

为提升插电式混合动力公交客车（PHEV）的能耗经济性而过多使用电池电能会增大电池的放电深度并加速其老化，为使节能与保护电池这对冲突因素的综合效益最大化，在行程终了使电池达到最优的放电深度（ODD）成为了关键。针对在固定公交线路行驶的智能网联PHEV，如何利用网联信息进行跟驰速度规划与能量分配的协同优化控制，使电池在行程结束达到ODD，对于提升整车安全性和经济性至关重要。为此，本项目首先构建公交线路工况、动力系统和电池老化等关键模型；其次，利用庞特里亚金原理辨识电池在整个行程的ODD；在此基础上，利用网联信息进行滚动时域内的车速预测及电池荷电状态的实时规划，将全局优化目标转化为滚动时域的局部目标；最后，在滚动时域内协同优化智能网联PHEV的安全性、能耗经济性和电池寿命，实现跟驰速度规划、能量分配和电池保护的协同优化，从而为开发高性能的智能网联PHEV产品提供理论及技术支撑。

For plug-in hybrid electric vehicles (PHEVs), overuse of battery energy aiming for energy economy improvement could accelerate the battery aging. In order to maximize the combined benefits of energy-saving and battery longevity, it is critical to achieve optimal depth of discharge (ODD) at the end of the trip. For connected and automated PHEVs running on the fixed bus route, a coordinated optimization of following-speed planning and energy distribution by leveraging the favorable connected information to achieve ODD is highly essential for improvement of running safety and economy. To this end, this proposal will first establish the typical driving cycles of the bus route, the powertrain model and battery aging model. Second, the ODD over the route will be identified by using the Pontryagin’s minimum principle. Then, the short-term speed forecasting and SOC planning will be carried out based on the connected information, converting the global optimization objective into local ones over the receding horizon. Finally, the co-optimization of the running safety, energy economy and battery longevity will be conducted over the receding horizon, so as to generate optimal trade-off between the following-speed planning, power-split and battery protection. This proposal will provide the theoretical and technical foundation for improvement of running safety and comprehensive economy for connected and automated PHEV products.