Parameter Identification of Battery Pack Considering Cell Inconsistency Tongji University

Format:

Conference/Event

Author/Creator:

Xia, Xia, author.

Contributor:

Dai, Haifeng

Sun, Zechang

Venturi, Massimo

Conference Name:

WCX 17: SAE World Congress Experience (2017-04-04 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2017

Summary:

AbstractLithium-ion batteries have been applied in the new energy vehicles more and more widely. The inconsistency of battery cells imposes a lot of difficulties in parameter and state estimations. This paper proposes a new algorithm which can online identify the parameters of each individual battery cell accurately with limited increase of computational cost. An equivalent circuit battery model is founded and based on the RLS (recursive least squares) algorithm, an optimization algorithm with the construction of weight vectors is proposed which can identify the parameters of lithium battery pack considering inconsistency of single battery cell. Firstly, the average value of the parameters of the battery pack is identified with the traditional RLS algorithm. Then the ratios between the parameters of each battery cell can be deduced from the mathematical model of battery. These ratios are used to determine the weight vector of each parameter of individual battery cells. Finally, with the average battery parameters and the weight vectors, we can obtain the parameters of each cell. The proposed weighted algorithm (WA) is verified with the bench test data. The results show that the WA can achieve a good accuracy of parameter identification with a low computation cost

Notes:

Vendor supplied data

Publisher Number:

2017-01-1214

Access Restriction:

Restricted for use by site license