2017
DOI: 10.1016/j.apenergy.2017.08.201
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Multi-objective optimization design and performance evaluation for plug-in hybrid electric vehicle powertrains

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Cited by 97 publications
(33 citation statements)
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“…where ϕ DC/AC is DC/AC conversion efficiency and ϕ motor mechanical efficiency of drive motor [28,29].…”
Section: Power System Structure Modelmentioning
confidence: 99%
“…where ϕ DC/AC is DC/AC conversion efficiency and ϕ motor mechanical efficiency of drive motor [28,29].…”
Section: Power System Structure Modelmentioning
confidence: 99%
“…The structure and efficiency model of CVT are shown in Figure 7. In this paper, the internal resistance model is selected as the battery model [30]. As shown in Figure 8a.…”
Section: Parameter and Modelmentioning
confidence: 99%
“…The cost function J fuel consists of fuel consumption, mode penalty function, and SOC penalty function; the latter two penalty functions are set to avoid frequent mode switching and maintain the balance of initial and terminal SOC, respectively. In this paper, 0-120 km/h acceleration time is selected as the evaluation index of dynamic performance [30]. In the acceleration process, it is assumed that SOC is sufficient and battery power always meets the power requirements of the MG.…”
Section: Control Strategymentioning
confidence: 99%
“…It is noteworthy that the MG parameters of configuration I and II employ the MG2 parameters of the Prius. In order to avoid the influence of control strategy on performance evaluation, the global optimal control strategy based on dynamic programming (DP) is adopted in this paper …”
Section: Performance Comparison and Analysismentioning
confidence: 99%
“…In order to avoid the influence of control strategy on performance evaluation, the global optimal control strategy based on dynamic programming (DP) is adopted in this paper. 29 (A) (B)…”
Section: Parametersmentioning
confidence: 99%