2011 IEEE Vehicle Power and Propulsion Conference 2011
DOI: 10.1109/vppc.2011.6043102
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Optimal transient control of power generation in hybrid construction equipment

Abstract: Optimal energy management and power generation control in hybrid construction machines is presented. Power demand is often highly transient for construction equipment. The influence of the transient demand is studied by introducing powertrain speed dynamics in addition to energy storage dynamics in the optimal control problem. Solutions to the optimal control problem are derived and an approximate solution is proposed that can be used for on-line control. The well known equivalent consumption minimization stra… Show more

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Cited by 6 publications
(5 citation statements)
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“…In this case, instead of using SOC, available electrochemical energy of the battery (W ech = Q × U oc ) is taken as the system state. The corresponding dynamics is (Fröberg et al, 2011)…”
Section: Batterymentioning
confidence: 99%
See 1 more Smart Citation
“…In this case, instead of using SOC, available electrochemical energy of the battery (W ech = Q × U oc ) is taken as the system state. The corresponding dynamics is (Fröberg et al, 2011)…”
Section: Batterymentioning
confidence: 99%
“…While development of optimal energy management policies for hybrid electric construction equipment is nothing new (Nilsson et al, 2015;Fröberg et al, 2011;Zhang et al, 2019), research on simultaneous optimization of fuel economy and energy storage system's durability is limited (Li et al, 2018). In this regard, to the best of the authors' knowledge, incorporation of battery degradation into energy management problem of hybrid electric wheel loaders and its potential advantages have not been studied yet.…”
Section: Introductionmentioning
confidence: 99%
“…m f Bat_eq is the equivalent electric consumption, and t is the discrete time index [31][32][33][34][35][36][37].…”
Section: Equivalent Consumption Minimization Strategy Optimization Bamentioning
confidence: 99%
“…93,95 The control variable in ECMS is the equivalency factor compared with other optimization algorithms. Froberg et al 96 minimized fuel consumption for an electric power demand given as function of time in hybrid construction equipment by ECMS. The optimization problem can be written as min…”
Section: Ecmsmentioning
confidence: 99%