Predictive-ECMS based degradation protective control strategy for a fuel cell hybrid electric vehicle considering uphill condition

Abstract

The fuel economy and powertrain durability of fuel cell hybrid electrical vehicles (FCHEV) are sensitively affected by the load changing brought by the traffic, and most of the current power management strategies (PMS) are devoted to reducing the cost of hydrogen consumption and degradation. However, the variation in terrain information brings more severe load fluctuation, which is scarcely considered among the currently studied PMS. Since the terrain information tends to be predictable with the development of the intelligent transportation system, this paper develops a hierarchical PMS which integrates the terrain information. Firstly, a predictive equivalent consumption minimizes strategy of the inner layer is developed for providing power distribution decisions. Then, a fuel cell longevity-conscious strategy which devises a dynamic constraint on reference fuel cell output power is devised in the external layer. Finally, a heuristic battery SoC trajectory planning approach is used to guide the operation mode of the powertrain on the ramp, and the influence of the signal error is fully discussed. The effectiveness of this study is validated by the hardware-in-loop experiment, validation results show the strategy can improve 4.3% fuel economy, the erosion of the durability of the powertrain can be mitigated while the uphill condition.