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| Hardware in the Loop Simulation of Hybrid Electric Truck Energy Management Strategy |
| DOI：10.13949/j.cnki.nrjgc.2022.03.003 |
| Key Words:energy management particle swarm optimization equivalent fuel consumption minimization control strategy hardware in the loop simulation |
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| Abstract:In order to get the optimized equivalent fuel consumption factor for the equivalent consumption minimum strategy（ECMS）， a control strategy based on particle swarm optimization（PSO） was proposed to minimize the equivalent fuel consumption of heavy-duty hybrid electric truck. The sum of the absolute weighted values of the vehicle fuel consumption and the deviation of the end state of charge（SOC） from the target SOC was taken as the adaptability function， and the key parameters of the strategy were selected with PSO. According to the characteristics of the power system of a heavy-duty truck， a Simulink- based longitudinal dynamic model of the vehicle was established. Based on this model， the energy management strategy based on DP algorithm optimization rules and the control strategy based on ECMS were designed respectively. The optimized strategy was verified under the specific driving cycles. The hardware in the loop（HIL） test results indicated that the proposed strategy could reduce the engine fuel consumption by 3.63% and 1.36% compared with the energy management strategy based on DP algorithm while maintaining SOC stability. |
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