Optimizing the Production rate of EV battery cell in an EPQ model with process-based cost method using Genetic Algorithm: A case study of NMC-622 cell

Narang, Pankaj; De, Pijus Kanti; Kumari, Mamta

doi:10.1016/j.rico.2023.100229

Cited by 7 publications

(2 citation statements)

References 35 publications

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“…It provides a general framework which can solve nonlinear, multi-model and multi-objective optimization problems of complex systems. For this reason, it has been commonly used in demand response problems in electric vehicles [36][37], residential load shifting [38], and intelligent transportation systems [39].…”

Section: B Transportation System Formulationmentioning

confidence: 99%

Optimal Operation Scheme of Electric Vehicle Routing and Charging Considering Power Distribution and Transportation Integrated System

Chae,

Kim,

Won

2024

IEEE Access

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The increase in EV (Electric Vehicle) charging demands significantly affects the power system; thus, developing an optimal operating system is necessary to improve the power system stability while considering the transportation network. However, in existing studies, charging scheduling is divided into a power system perspective focusing on grid stability and a transportation perspective focusing on the optimal operation of EVs. As EVs affect both systems, it is necessary to consider both grid operation and transportation-network operation simultaneously. In this study, an integrated operation algorithm for the transportation network and power grid has been developed, which determines the amount of demand response through the power-flow results at the upper level and resolves traffic congestion by setting the optimal route for EVs at the lower level. The Demand Response (DR) adjustment amount is determined based on MATSim vehicle data, rather than simply looking at the DR amount from the perspective of the power system. Furthermore, the concept of Autonomous Integrated EVs (AIEV) in the integrated system has been constructed, which improves the grid stability to cope with uncooperative EVs. The transportation system is configured using MATSim to run the integrated simulation, and the power system is configured using the IEEE-33 bus model. The integrated operating algorithm received high evaluation indicators for voltage stability, power loss, and average driving time. In addition, the effectiveness of the algorithm was demonstrated in various situations through the composition of multiple scenarios.

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Section: B Transportation System Formulationmentioning

confidence: 99%

Optimal Operation Scheme of Electric Vehicle Routing and Charging Considering Power Distribution and Transportation Integrated System

Chae,

Kim,

Won

2024

IEEE Access

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“…[ 12,13 ] Nevertheless, the economic performance of the battery cell is impacted not only by its service life, which emphasizes cycle stability, energy density, and safety but also by the manufacturing process and associated production costs of the LIBs. [ 14–16 ] For this reason, an alternative to state‐of‐the‐art batch mixing is being introduced to decrease the cost of commercial slurry production. Hence, this study concentrates on both the production aspect, specifically the manufacturing process, and the material aspect, emphasizing the utilization of high‐capacity AMs in anode blends.…”

Section: Introductionmentioning

confidence: 99%

Impact of Screw Geometry and Solids Content on the Properties of Continuously Produced Si Anodes

Grenda,

Weber,

Jagau

et al. 2024

Energy Tech

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Within the realm of lithium‐ion batteries, there is a growing emphasis on achieving high energy density and environmentally friendly production at a low cost. To address these demands, the battery slurries in this study incorporate the high‐energy anode material silicon. They are systematically produced through continuous extrusion, aiming to realize cost reductions by significantly reducing the overall process time. In this study, it is demonstrated that the choice of screw configuration and solids content during kneading influences the specific energy input and the stress intensity during processing significantly. The stress intensity, represented here by the specific torque, has a great influence on the slurry properties as well as the electrochemical performance of the battery. An increased stress intensity leads to an increase in adhesive strength and ionic resistance. In the results, it is indicated that carbon black decomposition increases significantly, but when a critical specific stress intensity in form of the specific torque is reached, delamination and fracture of the graphite particles occur, leading to a loss of lithium‐ion storage capacity, favoring lithium plating and severely degrading both capacity by up to 40% at 1C and long‐term performance by up to 10% after 50 cycles.

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Parameter identification and state of charge estimation for lithium-ion batteries under wide temperature range

Chen,

Pang,

Nan

et al. 2023

Ionics

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Optimizing the Production rate of EV battery cell in an EPQ model with process-based cost method using Genetic Algorithm: A case study of NMC-622 cell

Cited by 7 publications

References 35 publications

Optimal Operation Scheme of Electric Vehicle Routing and Charging Considering Power Distribution and Transportation Integrated System

Optimal Operation Scheme of Electric Vehicle Routing and Charging Considering Power Distribution and Transportation Integrated System

Impact of Screw Geometry and Solids Content on the Properties of Continuously Produced Si Anodes

Parameter identification and state of charge estimation for lithium-ion batteries under wide temperature range

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