Hybrid Model Predictive Power Management of A Fuel Cell‐Battery Vehicle

摘要: This paper considers optimal power management of a fuel cell-battery hybrid vehicle (FCHV) powertrain having three distinct modal configurations (modes): electric motor propelling/battery discharging, propelling/charging, and generating/charging. Each mode has set dynamics constraints. Using component dynamical/algebraic models appropriate to flow management, the develops supervisory-level switched system model as an interconnection subsystems. Given model, sets forth predictive control strategy based on minimization performance index (PI) that trades off tracking economy in each operational mode. Specifically, PI velocity error, battery state charge variance, drive hydrogen usages while penalizing frictional braking encourage regenerative braking. The optimization is performed using embedded collocation with matlab's fmincon compute switches continuous time controls. methodology avoids computational complexity alternate approaches on, e.g., mixed integer programming. Projection methods for approximating solution from are empirically evaluated. To demonstrate methodology, example FCHV simulated standard driving profiles: sawtooth profile hill climb, EPA urban dynamic schedule, New European Driving Cycle. Also, cycle usage compared Equivalent Consumption Minimization Strategy.