Device optimization and application study of low cost printed temperature sensor for mobile and stationary battery based Energy Storage Systems

Abstract

One of the most important physical parameters for state estimation in battery based Energy Storage Systems (ESS) is the temperature. This physical quantity does not only strongly influence state estimation for battery management systems, but also significantly affects lifetime and return on investment finally. Thus, monitoring the cell temperature is essential when high performance and efficiency is demanded. Contrary to this fact, less temperature sensors than battery cells are implemented in state of the art battery systems, to limit system costs. In this paper a low cost temperature sensor is presented. Based on printed electronics technology, a broad spectrum of designs and substrates is processable which leads to a variety of possible applications. After the selection of design and concept for battery applications, the processing of the sensor device is described. The main part of the paper is about the experimental validation of the printed temperature sensor performance. In a high power charge and discharge cycle of a single battery cell, the printed sensor is directly compared to state of the art temperature sensors implemented in mobile or stationary battery systems. Finally, the results are discussed and future perspectives are given. Both, the advantages and disadvantages of the printed temperature sensor are shown, whereas for the latter possible solutions are pointed out with respect to further developments

A review on various temperature-indication methods for Li-ion batteries

“…The thermistor was placed in an interstice in the module, and the data are compared to model simulation results. Grosch et al [196] developed a new low-cost PTC thermistor that can be easily produced with printing techniques. The accuracy of this new thermistor is somewhat lower in comparison to commercially available NTC thermistors and thermocouples.…”

Lithium-Ion Battery Management System for Electric Vehicles

“…There are strong needs for advanced BMS that have real-time access to both local and distributed temperature information of each battery cell, enabling more precise estimations of SOC and RUL, as well as early detection and prevention of catastrophic events such as thermal runaway. Various sensing principles have been employed and developed in the past decade including but not limited to resistive sensors [13], thermoelectric sensors [14], infrared thermography [15], electrochemical impedance measurement [16], giant magnetoresistance (GMR) based Johnson noise thermometry (JNT) sensor [17], and fiber Bragg grating sensors [18]. These sensors are either utilized for direct temperature measurements at the desired locations or combined with physics-based or data-driven modelling methods for estimation of other key parameters.…”

“…These sensors are either utilized for direct temperature measurements at the desired locations or combined with physics-based or data-driven modelling methods for estimation of other key parameters. Non-commercially available sensors are also designed and fabricated by Screen Printing [13], or Micro-electro-mechanical-systems (MEMS) fabrication techniques [15] for higher spatial and temporal resolution, easier assembly, or lower cost. Challenges remain in the design and manufacturing of low cost, compact, non-intrusive, and high dynamic range (i.e.…”

Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array

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