MPC-Based Power Management Strategy to Reduce Power Loss in Energy Storage System of HEV-Improved Model

As climate change begins to impact the globe, transportation technology is being tasked with the challenge of developing cleaner vehicles that reduce emissions. With the growth of vehicle electrification, internal combustion engines have become more efficient but not nearly enough. The current trajectory of vehicle development is directed toward battery powered vehicles. This can be seen in the rising production of battery electric vehicles (BEV) and hybrid electric vehicles (HEV). Energy storage system (ESS) viability is a major hurdle being faced by vehicle manufacturers and improving ESS efficiency is the subject of this research paper. More specifically, power loss in the ESS will be reduced through control of the DC/DC converter setpoint voltage. The goal of this research is to show that a variable DC/DC setpoint voltage would allow the system to use power more efficiently by online matching of the system’s real-time power needs. This goal shall be met by testing a model predictive control-based power management strategy in software in the loop (SIL) and then implementing this strategy in hardware in the loop (HIL) using a controller and real-time simulator. This paper builds and improves upon research from a previous manuscript “MPC -based power management strategy to reduce power loss in energy storage system of HEV” [1] with the addition of ESS model system constraints to the ESS model.