Combined Design and Control Optimization of Hybrid Vehicles

Abstract

Hybrid vehicles play an important role in reducing energy consumption and pollutant emissions of ground transportation. The increased mechatronic system complexity, however, results in a heavy challenge for efficient component sizing and power coordination among multiple power sources. This chapter presents a convex programming framework for the combined design and control optimization of hybrid vehicles. An instructive and straightforward case study of design and energy control optimization for a fuel cell/supercapacitor hybrid bus is delineated to demonstrate the effectiveness and the computational advantage of the convex programming methodology. Convex modeling of key components in the fuel cell/supercapactior hybrid powertrain is introduced, while a pseudo code in CVX is also provided to elucidate how to practically implement the convex optimization. The generalization, applicability, and validity of the convex optimization framework

Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks

“…It can be seen that the fitted quadratic function captures the hydrogen consumption of the FC system with high accuracy. Similar quadratic model has also been used for system-level powertrain analysis in [25], [27].…”

“…In [24], a twoloop framework based on Pareto optimization is presented in combination with dynamic programming to solve a multiobjective optimization problem for an FC hybrid electric bus. Convex optimization has been performed in [25], [26], [27] for optimization of component sizing and energy management of FC electric buses hybridized with SC, battery, or both. Convex programming has also been used in [28] to optimize component sizing and energy management for an FC urban logistics vehicle.…”

“…Energy management and component sizing of FC hybrid electric vehicles have been separately or sequentially optimized in heavy-duty applications, including buses, trams and trucks. However, their combined optimization has only been well addressed in FC hybrid electric buses [25], [26], [27] and has not been comprehensively studied for trucking applications. To bridge this research gap, this paper presents a joint component sizing and energy management framework via convex optimization for FCHETs.…”

Survey on Energy Management Strategy for Plug-in Hybrid Electric Vehicles

“…将式 ( [105] 。针对 PHEV 能量管理问题，常见 的凸优化方法便是将该复杂的非线性问题转化为半 定问题，在保证了优化结果有效性的的同时能够极 大地减少运算时间，提高算法的实时性能 [122] 。 文献 [107][108] [81] HE H，TANG H，WANG X. Global optimal energy management strategy research for a plug-in series-parallel hybrid electric bus by using dynamic programming [J].…”