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A hybrid modeling framework for lithium-ion battery degradation in electrified vehicles considering dynamic c-rate and real-world driving conditions
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DOI：10.1016/j.ecmx.2026.102156.png)
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Abstract
En 中文
Electrified vehicles are increasingly promoted as environmentally friendly alternatives to conventional vehicles. However, accurately predicting lithium-ion battery degradation under real-world conditions remains a major scientific and engineering challenge. Existing models often rely on simplified assumptions that fail to capture the complex, coupled effects of driving dynamics, environmental variability, and energy management strategies on battery aging.
Keywords:
Degradation model
Electrified powertrain
Lithium ion Battery
Plug-in hybrid electric vehicle
State of Health (SoH)
BMS
Battery Management System
CAN
Controller Area Network
DoD
Depth of Discharge
EM
Electric Machine
FL
Fuzzy Logic
HEV
Hybrid Electric Vehicle
ICE
Internal Combustion Engine
LIB
Lithium-Ion Battery
ML
Machine learning
NCM
Nickel Cobalt Manganese
NN
Neural Network
OEM
Original Equipment Manufacturer
PEV
Plug-in electric vehicle
PHEV
Plug-in Hybrid Electric Vehicle
SEI
Solid Electrolyte Interphase
SoC
State of Charge
SoH
State of Health
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