The internal temperature of Li-ion batteries for electric or hybrid vehicles is an important factor influencing their ageing. Generally not measured, it can be reconstructed from an external measurement and a model. This paper presents the simplified modelling of heat transfers in a battery module, leading to a Linear Parameter-Varying (LPV) model. Then, a polytopic observer is proposed to estimate the cell temperature and internal resistance, ensuring a tradeoff between the convergence speed and the noise of the estimated states. Experimental results show the good quality of the estimation and the diagnosis potential offered by internal resistance reconstruction.
The paper proposes an energy management strategy (EMS) for hybrid electric vehicles (HEV) and plug-in hybrid electric vehicles (PHEV) taking into account battery health through an additional soft constraint on battery internal temperature, considered as one of the prime factors influencing battery aging. Battery cell temperature is modeled and considered as a second state constraint with the state of energy (SOE) in the optimization problem solved on-line using the equivalent consumption minimization strategy (ECMS). Simulation results are presented to highlight the contribution of the strategy including battery thermal management compared to the standard approach.
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