Battery Health-Conscious Power Management for Plug-in Hybrid Electric Vehicles via

This paper investigates power management algorithms that optimally manage lithium-ion battery pack health, in terms of anode-side film growth, for plug-in hybrid electric vehicles (PHEVs). Specifically, we integrate a reduced electrochemical model of solid electrolyte interface (SEI) film formation into a stochastic dynamic programming formulation of the PHEV power management problem. This makes it possible to optimally trade off energy consumption cost versus battery health. A care-ful analysis of the resulting Pareto-optimal set of power manage-ment solutions provides two important insights into the tradeoffs between battery health and energy consumption cost in PHEVs. First, optimal power management solutions that minimize energy consumption cost tend to ration battery charge, while the solu-tions that minimize battery health degradation tend to deplete charge aggressively. Second, solutions that balance the needs for minimum energy cost and maximum battery health tend to ag-gressively deplete battery charge at high states of charge (SOCs), then blend engine and battery power at lower SOCs. These re-sults provide insight into the fundamental tradeoffs between bat-tery health and energy cost in PHEV power management.