Development of status detection method of lithium-ion rechargeable battery for hybrid electric vehicles

Kawahara, Yohei; Sakabe, Kei; Nakao, Ryohei; Tsuru, Kenichiro; Okawa, Keiichiro; Aoshima, Yoshinori; Kudo, Akihiko; Emori, Akihiko

doi:10.1016/j.jpowsour.2020.228760

Cited by 26 publications

(13 citation statements)

References 4 publications

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“…In addition, they are also considered promising candidates for use in electric vehicles. [1][2][3] From the perspective of building a low-carbon society and achieving energy security, the applications of LIBs are expected to further expand in the future. Hence, it is very important to prolong the service life of LIBs, which, with long-term use, are known to show decreased voltage and capacity.…”

Section: Introductionmentioning

confidence: 99%

Peak Attribution of the Differential Capacity Profile of a LiCoO<sub>2</sub>-based Three-electrode Li-ion Laminate Cell

TSUTSUMI

Shironita

et al. 2022

Electrochemistry

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Analysis of the differential capacity profile (dQ/dV vs. V), which can capture the changes in the electrode structure inside a battery, is an effective electrochemical method for investigating the degradation behavior and mechanism of Li-ion cells. However, the electrode reactions corresponding to the peaks in a dQ/dV vs. V curve are undefined. Hence, it is difficult to qualitatively analyze the mechanism of cell degradation using this curve. In this work, we propose an original method for attributing the peaks in a dQ/dV vs. V curve. Peak attribution is implemented using a three-electrode Li-ion laminate cell with a LiCoO2 cathode, graphite anode, and lithium reference electrode. During charge and discharge, the potential differences (dE) of the LiCoO2-Li and graphite-Li sides and voltage difference (dV) of the LiCoO2-graphite full cell are measured simultaneously. Meanwhile, the Coulomb amounts (dQ) of the LiCoO2-Li and graphite-Li sides are equivalent to that of the LiCoO2graphite full cell at a certain time. By comparing the dQ/dV vs. V curve of the full cell to the dQ/dE vs. E curves of the LiCoO2-Li and graphite-Li sides, the peaks in the differential capacity curve can be attributed to specific structural changes in the electrodes. Importantly, this information is acquired without disassembling the cell, making our proposed analytical method a convenient means of studying cell degradation under various conditions, such as low temperature, high temperature, or high-rate charging.

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Section: Introductionmentioning

confidence: 99%

Peak Attribution of the Differential Capacity Profile of a LiCoO<sub>2</sub>-based Three-electrode Li-ion Laminate Cell

TSUTSUMI

Shironita

et al. 2022

Electrochemistry

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“…The noise interference is given full consideration. 24 Jiang Cong et al 25 present a novel adaptive square root extended Kalman filtering algorithm that can solve the problem of filtering divergence caused by computer rounding errors, and the accuracy of estimating SOC is improved greatly. The tracking effect of the filtering algorithm is excellent, has gradually become the main direction of the SOC estimation method.…”

Section: Introductionmentioning

confidence: 99%

“…Through the establishment of the equivalent model to simplify the battery system, to extract the state‐space equation, using filtering algorithm for linearization, 22 all kinds of parameters and the SOC mathematic relationship are established. The noise interference is given full consideration 24 . Jiang Cong et al 25 present a novel adaptive square root extended Kalman filtering algorithm that can solve the problem of filtering divergence caused by computer rounding errors, and the accuracy of estimating SOC is improved greatly.…”

Section: Introductionmentioning

confidence: 99%

Fusion estimation strategy based on dual adaptive Kalman filtering algorithm for the state of charge and state of health of hybrid electric vehicle Li‐ion batteries

Ren

Wang

Chen

et al. 2022

Intl J of Energy Research

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Summary To accurately evaluate the state of charge (SOC) and state of health (SOH) of Li‐ion battery, the second‐order RC equivalent‐circuit model is used to characterize the battery performance, a novel dual adaptive Kalman filtering algorithm is presented by adding double cycles and noise adaptive steps to realize the joint estimation of the SOC and internal resistance. The state variables can be corrected with each other as go through the cycle under three operating conditions. The accuracy of the SOC estimation method proposed in this paper is significantly improved compared with the extended Kalman filtering and the unscented Kalman filtering algorithm. Under three operating conditions, the average error and the maximum error decreased obviously. An equation for calculating the SOH in terms of internal resistance increase was built. The estimation result of the SOH effectively simulated the actual situation, compared with the actual result, the maximum error under the three operating conditions are within a lower level than the improved unscented Kalman filtering algorithm. The convergence effect of the algorithm has obvious advantages over that of the algorithm used for comparison, which could effectively track the state change of the battery.

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“…The energy flow investigations are tightly related to the method of determination of the battery state of charge. They are based on solutions of varied rate of efficiency [17]. The research proposed by the authors is related to the comparative analyses of different generations of the same vehicle model.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Engine Downsizing in Hybrid Powertrains on the Energy Flow Indicators under Actual Traffic Conditions

Szałek¹,

Pielecha

2021

Energies

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The development of internal combustion engines is currently based around the ideas of downsizing and rightsizing. These trends, however, are not very widespread in vehicles with hybrid drive systems. Nevertheless, the authors analyzed the performance indicators of hybrid drives in downsized vehicles. Two generations of a vehicle model, equipped with hybrid drive systems, were used in the analysis in which not only the design of the internal combustion engine was changed, but also other hybrid drive systems (including the transmission, electric motors and high-voltage batteries). The paper analyzes the energy flow in two hybrid vehicles of different generations during tests in real road driving conditions in accordance with the requirements of the RDE (real driving emissions) tests. The authors have confirmed that newer vehicle designs extend the vehicle range by 38% in the electric mode under the conditions of road traffic (68% in the urban conditions). The application of a combustion engine with better operating indexes did not result in its greater load, but led to limitation of the maximum pressure-volume (PV) diagram. The change of the battery to Li-ion, despite its lower electric and energy capacity, led to an increase in vehicle’s working parameters (power and regenerative braking).

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Development of status detection method of lithium-ion rechargeable battery for hybrid electric vehicles

Cited by 26 publications

References 4 publications

Peak Attribution of the Differential Capacity Profile of a LiCoO<sub>2</sub>-based Three-electrode Li-ion Laminate Cell

Peak Attribution of the Differential Capacity Profile of a LiCoO<sub>2</sub>-based Three-electrode Li-ion Laminate Cell

Fusion estimation strategy based on dual adaptive Kalman filtering algorithm for the state of charge and state of health of hybrid electric vehicle Li‐ion batteries

The Influence of Engine Downsizing in Hybrid Powertrains on the Energy Flow Indicators under Actual Traffic Conditions

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