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Palabras clave – provistas por la editorial

degree of hybridization; energy management; hybrid propulsion; proton exchange membrane fuel cell; simulink, supercapacitor; fleet transition; optimization; life-cycle assessment; greenhouse gas; global warming potential; vehicle powertrain concepts; dedicated hybrid transmission; benchmarking; hybrid electric vehicle; efficiency; topology optimization; drive train optimization; powertrain concepts; structural reliability; uncertainties; ensemble learning; fault diagnosis; VFS; GA; input feedforward; fault observation; pressure sensor; aftermarket hybridization kit; emissions mitigation; local driving cycle; plug-in hybrid electric vehicles; vehicle efficiency; plug-in hybrid electric vehicle; electromechanical coupling; electrified mechanical transmission; multi-purpose vehicle; machine learning; powertrain control; automatic re-training; hybrid electric vehicles; dynamic programming; transmission; vehicle emissions; particle measurement programme (PMP); portable emissions measurement systems (PEMS); volatile removal efficiency; non-volatiles; solid particle number; catalytic stripper; evaporation tube; artefact; E-Mobility; powertrain design; high-speed; electric machine design; transmission design; gearbox; electric vehicles; range extenders; zinc–air battery; lithium-ion battery; electric vehicle transition; Arrhenius model; losses; mission profile; inverter; powertrain; Rainflow algorithm; reliability; thermal network; electric vehicle; n/a