Driving intention awareness-based multi-objective robust coordinated control strategy for series hybrid electric vehicles

Power coordination strategy (PCS) plays a crucial role in realizing the desired performance of series hybrid electric vehicles (SHEVs). The inherent uncertainty of driving scenarios is considered one of the inevitable challenges that PCS need to deal with, accompanied by varying driving demands across diverse conditions. Enhancing the overall performance of SHEVs under frequently changing driving conditions represents a critical obstacle faced in strategic design. To tackle this issue, this paper proposes a driving intention awareness-based multi-objective robust coordinated control strategy for SHEVs. In contrast to conventional strategies that overlook the dynamic response characteristics of components, an integrated control model for series hybrid powertrain aimed at coordinated control is constructed. To promote the strategy's capability to cope with uncertain operating conditions, a driving intention representation method is devised to quantify the uncertainty set of driving demands. Furthermore, a driving intention awareness-based objective transfer function is designed to achieve adaptive alignment of performance priorities with varying driving demands. The developed multi-objective robust coordinated control problem is efficiently solved with distributed optimization algorithm. Finally, simulation and hardware-in-the-loop (HIL) test are conducted to validate the performance of the strategy. With other performance metrics remained similar, the proposed strategy demonstrates 3.22 % and 3.41 % improvement in fuel economy compared to power-following strategy under two testing scenarios, while also exhibiting superior property in reducing fluctuations of engine speed. Additionally, the proposed strategy's capability for objective transfer and robustness across diverse driving conditions is also verified. The results in HIL test further confirm the application potential of the strategy.