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With the promotion of lithium-ion battery, it is more and more important to ensure the safety usage of the battery. The purpose of this paper is to analyze the battery operation data and estimate the remaining life of the battery, and provide effective information to the user to avoid the risk of battery accidents.

The particle filter (PF) algorithm is taken as the core, and the double-exponential model is used as the state equation and the artificial neural network is used as the observation equation. After the importance resampling process, the battery degradation curve is obtained after getting the posterior parameter, and then the system could estimate remaining useful life (RUL).

Experiments were carried out by using the public data set. The results show that the Bayesian-based posterior estimation model has a good predictive effect and fits the degradation curve of the battery well, and the prediction accuracy will increase gradually as the cycle increases.

This paper combines the advantages of the data-driven method and PF algorithm. The proposed method has good prediction accuracy and has an uncertain expression on the RUL of the battery. Besides, the method proposed is relatively easy to implement in the battery management system, which has high practical value and can effectively avoid battery using risk for driver safety.

The purpose of this study is to design a new type of cold plate to improve the thermal performance of liquid-cooled thermal management system of lithium-ion batteries.

A cold plate with leaf type channels is proposed to enhance the cooling performance. Effects of the leaf type channel parameters (i.e. channel angle 20°, 40°, 60°, 80°; coolant mass flow rate 0.25 × 10^–3, 0.50 × 10^–3, 0.75 × 10^–3, 1.00 × 10^–3, 1.25 × 10^–3 kg·s⁻¹; channel number 1, 3, 5, 7) on the performance are numerically investigated by using a 3D mathematical model.

Compared to the traditional I type channels, the leaf type channels have better cooling performance. It is found that the battery temperature variation and channel pressure drop are decreased with decreasing channel angle and increasing channel number. In addition, the cooling performance can be improved by increasing the coolant mass flow rate.

This study can provide guidance for the development of novel effective cold plates.

The design of cold plates with leaf type channels can be used in liquid-cooled thermal management system to reduce the battery temperature difference.

Corporate governance; General management; Strategy

Post Graduate/MBA

Tata Group is a conglomerate having 29 listed companies with consolidated revenues of $103bn in FY2016. On October 24, 2016, Cyrus Mistry, chairman of the group has been replaced in an unceremonious way from this job, in a boardroom coup, without being given any opportunity to explain his case. This news arrived in the media between October 2016 and December 2016 and wide and public debates took place on the corporate governance practices of Tata Group. Mistry’s ouster was attributed to non-performance, unethical practices and non-compliance to Tata culture. This case presents the Tata Group performance before Mistry, at the ouster of Mistry, the major trouble points and the corporate governance activities that took place in this saga at Tata Group. The real losers in this battle were the investors who lost $12bn between October 2016 and December 2016. Many of Tata Group companies’ stocks plunged.

The students will learn corporate governance, know how a non-listed company control and govern listed entities, know the way performance of a chairman of a company has been evaluated and learn how ethical and cultural issues impact the performance of chairman of a listed company.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS: 11: Strategy