Research on control sequence of work mode switching for planetary row multi-mode hybrid powertrain system

According to the characteristics of the planetary row hybrid power system, it is an important issue for the system to adopt a reasonable working mode to realize the efficient operation of the hybrid power system in different operating conditions. Paper takes the single-row hybrid system as the research object. To address the complexity of the working model, a self-construction method using vehicle modeling is proposed. State-space equations are developed for each mode, and an objective function model integrating main and sub-mode switching rules is constructed using the DP algorithm. Learning Vector Quantization (LVQ) network clustering extracts mode-switching sequences. Urban and highway cycles (UDDS and HWFET) are chosen as global optimization parameters. The DP algorithm’s global optimization is applied, extracting sequence basis from UDDS and HWFET compound conditions. Utilizing LVQ input data, the main mode’s power demand is divided into 4 sub-mode regions, generating a switching sequence diagram. Joint simulations verify the effectiveness. ECMS control with regular mode switching yields 4.7458 L/100 km fuel consumption under UDDS & HWFET, 5.53% higher than DP optimization. WLTC conditions, with more medium and high-speed operation, consumption is 5.031 L/100 km, offering further optimization potential.