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Power battery performance plays a pivotal role in the comprehensive performance of electric vehicles, and thus accurate identification of the parameters of the lithium-ion battery model is crucial for subsequent state-of-charge estimation and state-of-health prediction of the battery system. In order to improve the accuracy of parameter identification algorithm of lithium-ion battery model, a second-order RC equivalent circuit model of the battery is established, and a least-squares algorithm based on variable forgetting factor is used to identify the parameters of the lithium-ion battery model online. By building a test platform for charge and discharge experiments, based on the experimental data of two different operating conditions, the proposed algorithm, recursive least squares algorithm and traditional forgetting factor least squares algorithm are used to identify the parameters, and the accuracy of the proposed algorithm is described based on the comparison of the error between the estimated port voltage and the actual value obtained from the experimental test. The experimental results show that the recursive least squares algorithm based on the variable forgetting factor shows fast convergence and high estimation accuracy in the identification of lithium-ion battery parameters.

The 2-degree-of-freedom spherical 5R parallel mechanism is taken as the research object， and teaching-learning-based optimization （TLBO） algorithm is applied to solve the optimization design problem of mechanism dimensional parameters. The expression of inverse positional analysis for the mechanism is derived by means of coordinate transformation. Consequently， the transmission angle is used as the evaluation index of motion/force transmission performance， and then the definition and numerical calculation method of good transmission workspace （GTW） are given. Taking the maximizing area of GTW as object， a constrained optimization model of dimensional parameters is established， and TLBO algorithm is employed to solve this problem. The results show that the presented model and algorithm are feasible and effective.

Supercapacitors have been extensively studied due to their advantages of fast-charging and discharging, high-power density, long-cycling life, low cost, etc. Exploring novel nanomaterial schemes for high-performance electrode materials is of great significance. Herein, a strategy to combine vertical graphene (VG) with MoO3 nanosheets to form a composite VG/MoO3 nanostructure is proposed. VGs as transition layers supply rich active sites for the growth of MoO3 nanosheets with increasing specific surface areas. The VG transition layer further improves the electric contact and adhesion of the MoO3 electrode, simultaneously stabilizing its volume and crystal structure during repeated redox reactions. Thus, the prepared VG/MoO3 nanosheets have been demonstrated to exhibit excellent electrochemical properties, such as high reversible capacitance, better cycling performance, and high-rate capability. [ABSTRACT FROM AUTHOR]

In this paper, we prove that the Cauchy problem for a non-linear wave equation (1)has a unique global generalized solutions in and a unique global classical solution in . We also prove that the Cauchy problem for the equation (1) admits a unique global generalized solution in C2([0, ∞); Wm, p(R) ∩ L∞(R))(m ≥ 0 is an integer,1 ≤ p ≤ ∞) and a unique global classical solution in . [ABSTRACT FROM AUTHOR]

In this paper, the existence and the uniqueness of the global strong solution and the global classical solution for the Cauchy problem of the multidimensional generalized IMBq equation are proved. The nonexistence of the global solution for the Cauchy problem of the generalized IMBq equation is discussed. [Copyright &y& Elsevier]