Sinopoly Battery Research Center

Shanghai, China

Sinopoly Battery Research Center

Shanghai, China
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Wang Q.-K.,Shanghai JiaoTong University | He Y.-J.,Shanghai JiaoTong University | Shen J.-N.,Shanghai JiaoTong University | Ma Z.-F.,Shanghai JiaoTong University | And 2 more authors.
Energy | Year: 2017

The thermal coupled equivalent circuit model provides a vital role not only in accurate and reliable state monitoring, but also in effective thermal management of lithium-ion batteries. However, it lacks appropriate modeling strategies for including both the temperature and state of charge effects into the thermal coupled equivalent circuit model. In this study, a unified artificial neural network based thermal coupled equivalent circuit model approach is proposed to accurately and reliably capture the electrical and thermal dynamics of lithium-ion batteries. Both reversible and irreversible heat generation mechanisms are introduced in the thermal model. The quantitative relationship between circuit parameters and temperature/state of charge in equivalent circuit model is modeled by artificial neural network. Both electrical and thermal related parameters are simultaneously identified by means of least square strategy with l1-norm penalty on output weights in artificial neural network and positive constraints on circuit parameters. The effectiveness of the proposed artificial neural network based thermal coupled equivalent circuit model approach is validated by the experimental constant current discharge, pulse current discharge test and hybrid pulse power characterization test of a commercial large-format pouch-type lithium-ion battery. It implies that the proposed hybrid modeling strategy can provide a general framework for the inclusion of other effects such as health state and current into battery models and can be easily extended to more complicated models such as first-principle electrochemical-thermal model. © 2017 Elsevier Ltd


Li S.,Shanghai JiaoTong University | Xu J.,Shanghai JiaoTong University | Ma Z.,Shanghai JiaoTong University | Ma Z.,University of Waterloo | And 7 more authors.
Chemical Communications | Year: 2017

NiMn2O4 with different crystal structures was successfully synthesized and evaluated as a cathode catalyst for rechargeable Li-air batteries for the first time. The result reveals that the intermediate spinel structure between normal and inverse spinels demonstrates faster kinetics towards ORR/OER than the normal spinel, leading to a better battery performance. © 2017 The Royal Society of Chemistry.


Shen J.-F.,Shanghai JiaoTong University | He Y.-J.,Shanghai JiaoTong University | Ma Z.-F.,Shanghai JiaoTong University | Ma Z.-F.,Sinopoly Battery Research Center
Journal of Power Sources | Year: 2016

Accurate modeling of the charge redistribution dominated self-discharge process plays a significant role in power management systems for supercapacitors. Although equivalent circuit models (ECMs) are widely used to describe the nonlinear behaviors of the self-discharge process, they are usually separately established at different initial voltages, which might result in poor prediction performances at other unseen initial voltages. In this study, a three-branch model with a leakage resistance is used to describe the nonlinear dynamic behavior of the supercapacitor self-discharge dominated by charge redistribution and the circuit parameters in ECMs are explicitly modeled as a function of the initial voltage. Polynomial functions with different orders are systematically evaluated by means of fitting and prediction accuracy. The impacts of initial voltage and temperature on the charge redistribution dominated self-discharge process are experimentally investigated with a 3000 F commercial supercapacitor. The modeling results show that a 5th-order polynomial function is sufficient high enough to characterize the nonlinear effect of initial voltage on the charge redistribution dominated self-discharge in terms of prediction accuracy. Moreover, the prediction accuracy of polynomial function based ECMs are significantly better than that of interpolation based ECMs, which further validates the effectiveness of the proposed model. © 2015 Elsevier B.V. All rights reserved.


Yang D.,Shanghai JiaoTong University | Liao X.-Z.,Shanghai JiaoTong University | Liao X.-Z.,Sinopoly Battery Research Center | Shen J.,Shanghai JiaoTong University | And 3 more authors.
Journal of Materials Chemistry A | Year: 2014

A novel, flexible and binder-free reduced graphene oxide/Na 2/3[Ni1/3Mn2/3]O2 composite electrode (GNNM) has been fabricated by a simple technique. Reduced graphene oxide (RGO) establishes stable electrically conductive structures in the GNNM electrode. The prepared GNNM electrode delivers 86 mA h g-1 at 0.1 C rate, and the capacity retention reaches 68.4% at 10 C rate. The discharge capacity of the GNNM electrode at 1 C rate can reach 80 mA h g-1 after 200 cycles. © 2014 the Partner Organisations.


Shen J.-N.,Shanghai JiaoTong University | He Y.-J.,Shanghai JiaoTong University | Ma Z.-F.,Shanghai JiaoTong University | Ma Z.-F.,Sinopoly Battery Research Center
AIChE Journal | Year: 2016

Equivalent circuit model (ECM) is a practical and commonly used tool not only in state of charge (SOC) estimation but also in state of health (SOH) monitoring for lithium-ion batteries (LIBs). The functional forms of circuit parameters with respect to SOC in ECM are usually empirical determined, which cannot guarantee to obtain a compact and simple model. A systematical solution framework for simultaneous functional form selection and parameter estimation is proposed. A bi-objective mixed-integer nonlinear programming (MINLP) model is first constructed. Two solution approaches, namely the explicit and implicit methods, are then developed to balance model accuracy and model complexity. The former explicitly treats the model complexity as a constraint and the latter implicitly embeds the model complexity into the objective as a penalty. Both approaches require sequential solution of the transformed MINLP model and an ideal and nadir ideal solutions-based criterion is utilized to terminate the solution procedure for determining the optimal functional forms, in which ideal solution and nadir ideal solution represent the best and worst of each objective, respectively. Both explicit and implicit approaches are thoroughly evaluated and compared through experimental pulse current discharge test and hybrid pulse power characterization test of a commercial LIB. The fitting and prediction results illustrate that the proposed methods can effectively construct an optimal ECM with minimum complexity and prescribed precision requirement. It is thus indicated that the proposed MINLP-based solution framework, which could automatically guide the optimal ECM construction procedure, can be greatly helpful to both SOC estimation and SOH monitoring for LIBs. © 2016 American Institute of Chemical Engineers.


Yang D.,Shanghai JiaoTong University | Xu J.,Shanghai JiaoTong University | Liao X.-Z.,Shanghai JiaoTong University | Wang H.,Sinopoly Battery Research Center | And 3 more authors.
Chemical Communications | Year: 2015

A micro-cubic Prussian blue (PB) without coordinated water is first developed by electron exchange between graphene oxide and PB. The obtained reduced graphene oxide-PB composite exhibited complete redox reactions of the Fe sites and delivered ultrahigh electrochemical performances as well as excellent cycling stability as a cathode in sodium-ion batteries. © 2015 The Royal Society of Chemistry.


Ma J.,Shanghai JiaoTong University | Wang J.,Shanghai JiaoTong University | He Y.-S.,Shanghai JiaoTong University | Liao X.-Z.,Shanghai JiaoTong University | And 6 more authors.
Journal of Materials Chemistry A | Year: 2014

A facile and controllable approach has been developed to synthesize three-dimensional (3D) graphene-based monoliths. Here, as a proof-of-concept experiment, self-assembled 3D CoO/graphene sheets (CoO/GS) composites with porous structures have been successfully fabricated in an ethanol medium by a one-step, in situ growth, solvothermal method. During the process, the in situ nucleation and growth of CoO particles on GS were tuned by the formation of a 3D GS network. In the as-prepared composites, the self-assembled 3D GS network around the CoO particles can not only provide a 3D conductive matrix, but also buffer the volume changes of CoO and restrain the aggregation of CoO particles during charge-discharge cycling. The CoO particles, which are uniformly anchored into the 3D GS framework, can also act as spacers to effectively avoid the close restacking of GS. Compared to the bare CoO, the 3D CoO/GS composites as Li-ion battery anodes show dramatically improved electrochemical performance, including cycling stability and rate capability, owing to the unique self-assembled 3D structure and the superior synergistic effect between the two components. Such a synthesis strategy can be a promising route to produce diverse 3D graphene-based monoliths in various solvents. © 2014 the Partner Organisations.


He Y.-J.,Shanghai JiaoTong University | Shen J.-N.,Shanghai JiaoTong University | Shen J.-F.,Shanghai JiaoTong University | Ma Z.-F.,Shanghai JiaoTong University | Ma Z.-F.,Sinopoly Battery Research Center
AIChE Journal | Year: 2015

Accurate state of health (SOH) estimation in lithium-ion batteries, which plays a significant role not only in state of charge (SOC) estimation but also in remaining useful life (RUL) prognostics is studied. SOC estimation and RUL prognostics often require one-step-ahead and long-term SOH prediction, respectively. A systematic multiscale Gaussian process regression (GPR) modeling method is proposed to tackle accurate SOH estimation problems. Wavelet analysis method is utilized to decouple global degradation, local regeneration and fluctuations in SOH time series. GPR with the inclusion of time index is utilized to fit the extracted global degradation trend, and GPR with the input of lag vector is designed to recursively predict local regeneration and fluctuations. The proposed method is validated through experimental data from lithium-ion batteries degradation test. Both one-step-ahead and multi-step-ahead SOH prediction performances are thoroughly evaluated. The satisfactory results illustrate that the proposed method outperform GPR models without trend extraction. It is thus indicated that the proposed multiscale GPR modeling method can not only be greatly helpful to both RUL prognostics and SOC estimation for lithium-ion batteries, but also provide a general promising approach to tackle complex time series prediction in health management systems. © 2015 American Institute of Chemical Engineers.


Yuan T.,Shanghai JiaoTong University | Yuan T.,Sinopoly Battery Research Center | Li W.-T.,Shanghai JiaoTong University | Zhang W.,Shanghai JiaoTong University | And 6 more authors.
Industrial and Engineering Chemistry Research | Year: 2014

In this study, we report a facile strategy for constructing three-dimensional (3D) crumpled graphene sheets-wrapped nano-Li 4Ti5O12 (LTO@GS) composites using a one-pot spray-drying assisted solid-phase reaction method with anatase TiO2 as a starting material. The proportion of graphene oxide (GO) in the LTO@GS composite greatly influences the phase formation and electrochemical performance of the composite. As an anode material for a nonaqueous, hybrid battery-capacitor (BatCap) system, the LTO@GS composite exhibits good high-rate capability and long cycle life. The specific capacitance still retains 90% of the initial value after 20 000 cycles, and the Coulombic efficiencies are close to 100%. This can reasonably be attributed to the interesting crumpled graphene-encapsulated structure and extraordinary synergistic effects between the two components. © 2014 American Chemical Society.


Yuan T.,Shanghai JiaoTong University | Yuan T.,Sinopoly Battery Research Center | Yuan T.,University of Shanghai for Science and Technology | He Y.-S.,Shanghai JiaoTong University | And 4 more authors.
Chemical Communications | Year: 2016

A nitrogen-containing carbon (N-C) film was synthesized by pyrolysis of vapor phase polymerized polypyrrole (PPy). This carbon film exhibits excellent rate capability and cyclability as a lithium-ion battery anode. The reversible capacities are 908.4, 825.7, 664.0, 531.6, 415.5 and 325.9 mA h g-1 at 1C, 2C, 5C, 10C, 20C and 40C, respectively. © 2015 The Royal Society of Chemistry.

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