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Palabras clave – provistas por la editorial

hybrid energy storage system; plug-in hybrid electric vehicle; Li-ion battery; emerging electric machines; lithium-ion capacitor; electric vehicles (EVs); efficient energy management strategies for hybrid propulsion systems; plug-in hybrid; attributional; electric vehicle; energy system; energy efficiency; modified one-state hysteresis model; air quality; adaptive neuron-fuzzy inference system (ANFIS); Markov decision process (MDP); simulated annealing; Paris Agreement; mobility needs; interleaved multiport converte; dynamic programming; state of health estimation; strong track filter; LCA; modelling; consequential; losses model; voltage vector distribution; parallel hybrid electric vehicle; electricity mix; time-delay input; convex optimization; lifetime model; artificial neural network (ANN); Li(Ni1/3Co1/3Mn1/3)O2 battery; battery power; CO2; capacity degradation; regenerative braking; open-end winding; novel propulsion systems; group method of data handling (GMDH); state of charge; Well-to-Wheel; energy storage systems; including wide bandgap (WBG) technology; wide bandgap (WBG) technologies; marginal; lithium polymer battery; life-cycle assessment (LCA); energy management; dual inverter; lithium-ion battery; measurements; plug-in hybrid electric vehicles (PHEVs); emerging power electronics; Q-learning (QL); fuel consumption characteristics; Plugin Hybrid electric vehicle; Energy Storage systems; meta-analysis; range-extender; engine-on power; reinforcement learning (RL); multi-objective genetic algorithm; power sharing; energy management strategy; power distribution; hybrid electric vehicles; system modelling