White Paper: Battery Management for Different Types of Batteries

In this white paper we will discuss the battery management for different types of batteries. Battery management systems are an accepted feature in Li-ion battery applications, but their use with other types of batteries is discussed much less. In this white paper we will discuss whether battery management systems can be useful for other types of batteries (lead-acid, nickel-based, flow batteries…), what features would be useful and how they should be adapted.

 

Other deliverables can be found and downloaded from Results / Deliverables page this website.

Deliverable Report on virtual test benches (MiL, SiL, HiL)

The report summarizes the work done for the development of different virtual test bench models. The objectives of such model are the capability to model the complete vehicle for different scopes, like energy management purpose or battery management system (BMS) control calibration / validation.

Other deliverables can be found and downloaded from Results / Deliverables page this website.

Deliverable Report on model order reduction

This report summarizes achievements on the Model Order Reduction to find the most suitable implementation of physicochemical models in embedded systems such as microcontrollers used for Battery Management Systems.

Other deliverables can be found and downloaded from Results / Deliverables page this website.

Deliverable Report on Battery Management System Standard

This document is an endeavor to define and specify standard BMS functionalities and tests to verify/validate them.

Other deliverables can be found and downloaded from Results / Deliverables page this website.

White Paper: Evaluation of Cell Balancing

 

This white paper addresses the topic of cell balancing, especially how balancing strategies can be evaluated regarding their specified goal. First, the actual need for cell balancing is discussed. Subsequently, different balancing goals are defined, depending on the energy storage application. Finally, a balancing strategy is derived, which is suitable for most applications.

Other deliverables can be found and downloaded from Results / Deliverables page this website.

White Paper: Balancing – What vs How

In this white paper we address a topic that is often given too little attention, when discussing balancing. Most scientific papers on this topic deal with different electrical schemes to maximize the balancing current. However, another important aspect of balancing is deciding which current to apply to which cell: this is the so-called balancing strategy. We will explain that the balancing strategy is equally important as the electrical setup and smart combinations of both lead to the optimal balancing solution. To get there, this paper is divided into three chapters. The first one discusses the reason for balancing. The second chapter then gives an overview of possible active balancing circuits and is followed by the third chapter, which presents possible balancing strategies for the different circuits.

Other deliverables can be found and downloaded from Results / Deliverables page this website.

Report on Electrochemical Cell Model

The report summarizes the activities and achievements of work package (WP) 1 regarding the “Cell level detailed modelling” task (Task 1.1). Over the first two years in the EVERLASTING project, different experimental methods were applied on electrode/electrolyte and cell level of the INR18650-MJ1 lithium-ion cell, which is the project cell of the EVERLASTING project. The experimental part is used to parameterize and validate the modelling and simulation part using different thermal-electrochemical models for lithium-ion batteries. The results of the cell level detailed modelling show accurate prediction of the cell’s behaviour under various charge and discharge scenarios, cyclic and calendric aging as well as under different applied cooling strategies and ambient temperature conditions. The report is mainly based on the related publication [1] in the Journal of Power Sources  and the published data repository [2] at the TU Delft (i.e. Research Data Center).  The publications are available under the following DOIs:

Research Paper: https://doi.org/10.1016/j.jpowsour.2018.11.043
Data Repository: https://doi.org/10.4121/uuid:e8735cd2-e478-4db5-80bc-b5051961a0ab

Other deliverables can be found and downloaded from Results / Deliverables page this website.