Energy management strategy (EMS) is the core of the real-time control algorithm of the hybrid electric vehicle (HEV). A novel EMS using the logic threshold approach with incorporation of a stand-by optimization algorithm is proposed. The aim of it is to minimize the engine fuel consumption and maintain the battery state of charge (SOC) in its operation range, while satisfying the vehicle performance and drivability requirements. The hybrid powertrain bench test is carried out to collect data of the engine, motor and battery pack, which are used in the EMS to control the powertrain. Computer simulation model of the HEV is established in the MATLAB/Simulink environment according to the bench test results. Simulation results are presented for behaviors of the engine, motor and battery. The proposed EMS is implemented for a real parallel hybrid car control system and validated by vehicle field tests. Energy management strategy (EMS) is the core of the real-time control algorithm of the hybrid electric vehicle (HEV). A novel EMS using the logic threshold approach with incorporation of a stand-by optimization algorithm is proposed. The aim of it is to minimize the engine fuel consumption and maintain the battery state of charge (SOC) in its operation range, while satisfying the vehicle performance and drivability requirements. The hybrid powertrain bench test is carried out to collect data of the engine, motor and battery pack, which are used in the EMS to control the powertrain. Computer simulation model of the HEV is established in the MATLAB / Simulink environment according to the bench test results. Simulation results are presented for behaviors of the engine, motor and battery. The proposed EMS is implemented for a real parallel hybrid car control system and validated by vehicle field tests.