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Yuanzhong Xu,Bohan Hu,Tiezhou Wu,Tingyi Xiao 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.2
This paper proposes a joint estimation scheme for the state of charge (SoC) and state of health (SoH) for lithium-ion batteries in electric vehicles. The estimation accuracy is improved from four aspects. First, to overcome the shortcomings of the electrochemical model and equivalent circuit model, the battery model is established by a fractional order (FO) model. Second, a genetic algorithm is used to identify the model parameters, realizing optimal parameter identification. Third, the FO adaptive extended Kalman filter-based SoC estimator is developed, and the innovation accuracy of the algorithm is improved by multi- innovation theory. Fourth, the joint estimation of SoC and SoH is formulated through a multi-timescale framework. The proposed model and method are verified through dynamic operating condition experiments, and the main results are as follows. (1) In the entire SoC range, the accuracy of the FO model is better than that of the integer order (IO) model. (2) The effectiveness of the optimized SoC estimation method is verified, and the estimation error can be controlled within 3%. (3) The effectiveness of the proposed joint estimation method in dynamic conditions is verified, and it shows high accuracy.
Guo Qitao,Xiao Bohan,Ohsawa Isamu,Takahashi Jun 한국탄소학회 2020 Carbon Letters Vol.30 No.3
This paper aims to experimentally and numerically explore fracture mechanism characteristics of ultra-thin chopped carbon fber tape-reinforced thermoplastics (UT-CTT) hat-shaped hollow beam under transverse static and impact loadings. Three distinct failure modes were observed in the impact bending tests, whereas only one similar progressive collapse mode was observed in the transverse bending tests. The numerical model was to incorporate some hypothetical inter-layers in UT-CTT and assign them with the failure model as cohesive zone model, which can perform non-linear characteristics with failure criterion for representing delamination failure. The dynamic material parameters for the impact model were theoretically predicted with consideration of strain-rate dependency. It shows that the proposed modeling approach for interacting damage modes can serve as a benchmark for modeling damage coupling in composite materials.