Energy and Efficiency
summary
Session shows concrete systems and numbers: a hybrid Li‑ion design uses LFP and LTO cells with a reconfigurable transfer circuit, a prototype and simulator that recovers degraded capacity and reports 27.2% average energy gain versus single‑type batteries; a stochastic energy‑harvesting framework builds weekly stochastic models and Markov chains from 10 years of data to produce steady‑state battery depletion probabilities and guide adaptive policies; and a hybrid WPT+ambient scheme gives a lemma‑based optimal offline algorithm and a heuristic online scheduler to maximize throughput under battery and charging‑phase constraints.
AI-written summary · about
chapters (29)
- 0:00Start
- 0:49Maximizing Energy Availability of Hybrid Lithium Ion Battery
- 2:52Hybrid Battery
- 3:48Aerotransfer Experiment
- 6:14Batteries Selection
- 7:31Application Profile
- 8:37Area Control Strategy
- 9:25Prototype Hardware
- 11:29Energy Measurement
- 19:50A Stochastic Guarantees for Adaptive Energy Harvesting Systems
- 22:26Long Term Operation of Energy Harvesting Devices
- 24:32Stochastic Models for Energy Storage
- 24:50Markov Model
- 25:51General Battery Evolution
- 28:18Stationary Distribution
- 28:47Results
- 30:59Validation Results
- 33:51Emergency Modes
- 40:02Wireless Power Transfer
- 42:10Relationship of Power Data Rate and Throughput
- 45:25Optimal Offline Shadowing Scheme Proposal
- 47:38Offline Algorithm
- 51:00Life Cycle Analysis
- 56:24Future Work
- 59:14Golden Check
- 1:02:03Three Types of Computing
- 1:06:25Scalability of the Ilp
- 1:09:11Accelerated Matrix Factorization by Approximate Computing for Recommendation Systems
- 1:17:14Approximate Matrix Multiplication
related talks
14mEnergy harvesting and batteries for Generic Node
05mAn Ultra Low Power EH PMIC for Wireless Communication Protocols
37mBringing Open-Source to Battery Systems Development and Operations
13mLearning to Communicate Effectively Between Battery-free Devices
15mUsing Solar to Power LoRa Nodes
16mEnergy Harvesting in IoT
06mIntermittent Learning: On-Device Machine Learning on Intermittently Powered System
45mDecoding battery management data - back in the old school
