Volume 09: Proceedings of 12th International Conference on Applied Energy, Part 1, Thailand/Virtual, 2020

An online state of charge and input current co-estimation method for current sensor-free intelligent cells Zhongbao Wei, Jian Hu, Hongwen He, Xiaofeng Yang

Abstract

Recent research progress has witnessed the emergence of intelligent batteries integrating cell-level sensors and controllers for distributed and enhanced management. However, the highly integrated structure rises up multifold concerns over the rigorous thermal condition, and the trade-off between sensing quality and cost. Motivated by this, this paper pursuits the possibility of designing an intelligent battery with the function of state of charge (SOC) self-monitoring without using the current sensor. The essence is to propose a method converting the co-estimation of SOC and input current into a state-space model-based optimization problem, which is virtually solved in a moving horizon framework. Results suggest that the proposed method can realize accurate estimation of the SOC even if freeing the need of integrating a current sensor. The encouraging results are insightful for reducing the structural complexity and lowering down the cost of intelligence batteries.

Keywords intelligent battery, state estimation, moving horizon estimation, current sensor

Copyright ©
Energy Proceedings