2021
DOI: 10.1016/j.est.2021.103023
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Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues

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Cited by 353 publications
(107 citation statements)
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“…As the process is reversible, the charging process follows the opposite process. Since they were commercially available in 1991, the Li-ion batteries have been used for many applications: cellphones, smartphones, electronic devices, and electric vehicles [14][15][16].…”
Section: Li-ion Batteriesmentioning
confidence: 99%
“…As the process is reversible, the charging process follows the opposite process. Since they were commercially available in 1991, the Li-ion batteries have been used for many applications: cellphones, smartphones, electronic devices, and electric vehicles [14][15][16].…”
Section: Li-ion Batteriesmentioning
confidence: 99%
“…Yet, these investigations present various deficits with HESSs. Hannan et al 59 solve these deficits by reviewing battery ESSs. They discuss their technologies, optimal sizing, associated constraints, their optimization models, and the limitations of their optimization approaches.…”
Section: Introductionmentioning
confidence: 99%
“…In literature, EMS has been considered in several works [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]; we can classify these strategies into two main categories:…”
Section: Introductionmentioning
confidence: 99%
“…Second: strategies based on optimization approaches was another method can say more important because a series of optimization techniques have been applied in recent years such as linear programming or non-linear programming, dynamic programming, optimal linear-quadratic control, the genetic algorithm and Model Predictive Control (MPC) [18][19][20], moreover Pontriagin minimum principle has been used to achieve online optimum power distribution in a hybrid vehicle, Another online energy management strategy called Equivalent Consumption Minimization Strategy "ECMS", proposed by Musardo and Serrao [21][22][23], is based on an adaptive algorithm, In addition, these methods being global, it is very difficult to extract information from them about optimization methods that can be generalized to different situations or configurations. Their performances are related to the tradeoff between complexity formulation (parameters/constraints/objectives), conflicting requirements, computational time and exploration abilities (poor convergence).…”
Section: Introductionmentioning
confidence: 99%