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Design and Control of a Modular Integrated On-Board Battery Charger for EV Applications with Cell Balancing

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Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods

$1,400.00

Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods

$1,400.00

Research Materials Available – Subject to Confirmation

  • Design & Schematics
  • Code
  • Simulations
  • Documentation
  • Experimental Data

Research materials: Availability, pricing, and conditions will be checked. Then, a detailed offer will be provided. Please note: Availability and pricing are subject to author confirmation.

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Additional information

Journal

Batteries

Authors

Joaquín de la Vega
Jordi-Roger Riba
Juan Antonio Ortega-Redondo

Keywords

battery; capacity; degradation; state of health; remaining useful life; neural networks;
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Available

Research Schematics

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Research Math Analysis

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Research Simulations

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Research Control

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Research Code

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