000 | 04522nlm1a2200421 4500 | ||
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001 | 668919 | ||
005 | 20231030042204.0 | ||
035 | _a(RuTPU)RU\TPU\network\40156 | ||
035 | _aRU\TPU\network\39752 | ||
090 | _a668919 | ||
100 | _a20230202a2023 k y0engy50 ba | ||
101 | 0 | _aeng | |
135 | _adrgn ---uucaa | ||
181 | 0 | _ai | |
182 | 0 | _ab | |
200 | 1 |
_aMathematical Modeling of the State of the Battery of Cargo Electric Vehicles _fN. V. Martyushev, B. V. Malozemov, S. N. Sorokova [et al.] |
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203 |
_aText _celectronic |
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300 | _aTitle screen | ||
320 | _a[References: 33 tit.] | ||
330 | _aIn this paper, a mathematical simulation model of an electric vehicle traction battery has been developed, in which the battery was studied during the dynamic modes of its charge and discharge for heavy electric vehicles in various driving conditions—the conditions of the urban cycle and movement outside the city. The state of a lithium-ion battery is modeled based on operational factors, including changes in battery temperature. The simulation results will be useful for the implementation of real-time systems that take into account the processes of changing the characteristics of traction batteries. The developed mathematical model can be used in battery management systems to monitor the state of charge and battery degradation using the assessment of the state of charge (SOC) and the state of health (SOH). This is especially important when designing and operating a smart battery management system (BMS) in virtually any application of lithium-ion batteries, providing information on how long the device will run before it needs to be charged (SOC value) and when the battery should be replaced due to loss of battery capacity (SOH value). Based on the battery equivalent circuit and the system of equations, a simulation model was created to calculate the electrical and thermal characteristics. The equivalent circuit includes active and reactive elements, each of which imitates the physicochemical parameter of the battery under study or the structural element of the electrochemical battery. The input signals of the mathematical model are the current and ambient temperatures obtained during the tests of the electric vehicle, and the output signals are voltage, electrolyte temperature and degree of charge. The resulting equations make it possible to assign values of internal resistance to a certain temperature value and a certain value of the degree of charge. As a result of simulation modeling, the dependence of battery heating at various ambient temperatures was determined. | ||
461 | _tMathematics | ||
463 |
_tVol. 11, iss. 3 _v[536, 19 p.] _d2023 |
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610 | 1 | _aэлектронный ресурс | |
610 | 1 | _aтруды учёных ТПУ | |
610 | 1 | _amathematical model | |
610 | 1 | _asimulation model | |
610 | 1 | _alithium-ion battery | |
610 | 1 | _aelectric car | |
701 | 1 |
_aMartyushev _bN. V. _cspecialist in the field of material science _cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences _f1981- _gNikita Vladimirovich _2stltpush _3(RuTPU)RU\TPU\pers\32906 |
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701 | 1 |
_aMalozemov _bB. V. _gBoris Vitaljevich |
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701 | 1 |
_aSorokova _bS. N. _cspecialist in the field of Informatics and computer engineering _cassociate Professor of Tomsk Polytechnic University, programmer, candidate of physico-mathematical Sciences _f1981- _gSvetlana Nikolaevna _2stltpush _3(RuTPU)RU\TPU\pers\32711 |
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701 | 1 |
_aEfremenkov (Ephremenkov) _bE. A. _cSpecialist in the field of mechanical engineering _cAssociate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences (PhD) _f1975- _gEgor Alekseevich _2stltpush _3(RuTPU)RU\TPU\pers\30455 |
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701 | 0 | _aTsi Mensyuy | |
712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа новых производственных технологий _bОтделение материаловедения _h7871 _2stltpush _3(RuTPU)RU\TPU\col\23508 |
712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа новых производственных технологий _bОтделение машиностроения _h8881 _2stltpush _3(RuTPU)RU\TPU\col\27843 |
801 | 2 |
_aRU _b63413507 _c20230202 _gRCR |
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856 | 4 | _uhttps://doi.org/10.3390/math11030536 | |
942 | _cCF |