Electric van demonstrator

This report documents the VOLTIA Demonstrator, which is 42,9 kWh battery pack. The Demonstrator includes innovations developed within the EVERLASTING project and a tailor-made BMS. The battery pack is designed to be compatible with the VOLTIA eVan which is a 3,5 ton electric utility vehicle with easy battery swapping feature. Detailed documentation of the Demonstrator development can be
found in Deliverable 7.1 and compatibility tests in Deliverable 7.2.

D7.3 – Electric van demonstrator.

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

Report on driving range prediction and extension algorithm

This report documents several approches aim to optimize and to predict the driving range in terms of energy. The compendium of publications obtained from these efforts are included as appendixes of this report. Furthermore, a preliminary experimental study shows that optimization of the vehicle energy consumption can lead to a reduction in energy consumption of 6.94%, which leads to a range extension of 7.45%.

D3.5 – Report on driving range prediction and extension algorithm.

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

Report on Power Request Prediction for Electric Vehicles

In this report, we summarize model development for the purpose of predicting the future power request of an electric vehicle (EV). Two specific electric vehicles are considered; the Voltia eVan and the VDL electric city bus. Both vehicles are used in WP7 of this project for demonstration purposes.

D3.3 – Report on power request prediction for electric vehicles.

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

White Paper: Battery Thermal Management

In this white paper, we will discuss the upcoming questions for thermal management of lithium-ion
battery (LIB) packs:

  • Why is it necessary?.
  • Existing technologies.
  • Potential technologies.
  • Pros and cons.

 

D8.14 – White paper.

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

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.