惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

罗磊的独立博客
Recent Announcements
Recent Announcements
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
有赞技术团队
有赞技术团队
J
Java Code Geeks
T
The Blog of Author Tim Ferriss
MyScale Blog
MyScale Blog
人人都是产品经理
人人都是产品经理
aimingoo的专栏
aimingoo的专栏
U
Unit 42
The GitHub Blog
The GitHub Blog
云风的 BLOG
云风的 BLOG
T
Tailwind CSS Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 三生石上(FineUI控件)
Apple Machine Learning Research
Apple Machine Learning Research
小众软件
小众软件
Hugging Face - Blog
Hugging Face - Blog
博客园 - 司徒正美
腾讯CDC
I
InfoQ
GbyAI
GbyAI
博客园_首页

Business Tech News: Latest Updates on Innovations, Startups, and Market Trends | The HinduBusinessLine

Additive steps up lubrication Tackling iron deficiency from a steel mill Geo-engineering against climate change ZincGel vs Li-ion battery Why the energy sector isn’t AI-ready yet IT services giant TCS takes an AI-led avatar IIT-M revives forgotten route to industrial wastewater treatment IIT-Kanpur-incubated start-up develops unique battery technology Two faces of water Why the made-in-India ePlane is unique Moving satellite data at laser speed Longer-lasting zinc battery How simulation tech can ready robots for the real world DAE commissions world’s first nuclear heat-based copper-chlorine hydrogen plant DAE commissions world’s first nuclear heat-based copper-chlorine hydrogen plant Subterranean forest of fungi Using sound waves to bypass charge-based circuits AI aides to decode Indian law How the US funding cut impacts cancer research The time to deploy thorium is now The protein-peptide bonds that heal IIT-Kanpur hosts India’s first DORIS beacon How plants summon help Fishing out fake news using a deep-learning neural network IIT-Madras sets up testing tank for ships, submarines Dentistry’s prehistoric drill With AI, science is borderless How ‘spent’ graphite breathes new life into fuel cell Coal gas can yield clean hydrogen at $1.25 a kg Light, compact antennas
Efficient brakes and EV range
By Team Quantum · 2026-04-19 · via Business Tech News: Latest Updates on Innovations, Startups, and Market Trends | The HinduBusinessLine

Researchers at Indian Institute of Technology, Madras, have developed a control framework for electric vehicle (EV) traction systems that can extend driving range by improving the efficiency of regenerative braking, without requiring hardware changes.

Regenerative braking allows EVs to recover energy during deceleration, but it becomes ineffective below a certain speed. In most systems, this low-speed cut-off is fixed using empirical methods that do not adapt to operating conditions, leading to energy loss.

The IIT-Madras team addresses this by introducing an analytical method to determine the speed below which regenerative braking should be disabled. It is derived from first principles and computed offline, avoiding additional computational load during real-time vehicle operation.

In addition, the researchers developed a model-based algorithm that dynamically adjusts the motor’s magnetic flux depending on speed and torque conditions. This replaces conventional fixed-flux operation, reducing power losses and extending the effective range over which regenerative braking can function.

The framework has been tested using both international and Indian driving cycles, including the modified Indian drive cycle (MIDC). Results show a reduction in traction system losses of up to 13 per cent under MIDC conditions and about 7 per cent under the US EPA highway cycle.

The paper, published in the journal IEEE Transactions on Transportation Electrification, was co-authored by research scholar MK Deepa, Prof Srikanthan Sridharan and Prof CS Shankar Ram.

The team plans to test the framework on full-scale EVs to assess system-level effects, including battery performance and thermal behaviour, and explore its integration with battery state-of-charge management.

Stable aluminium-ion battery

Researchers have developed a composite electrode material that improves the durability of aluminium-ion batteries, potentially making them cheaper, safer and longer-lasting.

Aluminium batteries are being explored as an alternative to lithium-ion systems because aluminium is abundant, inexpensive and can store more charge per atom. However, poor durability is a major hindrance: The electrode material tends to crack or dissolve into the electrolyte during repeated charging and discharging cycles, leading to rapid loss of performance.

A commonly used cathode material, vanadium oxide, can store high energy and allows aluminium ions to move through its layered structure. But in water-based aluminium batteries, it dissolves into the electrolyte, causing the battery to lose capacity quickly.

To address this, a team led by Kavita Pandey at the Centre for Nano and Soft Matter Sciences, working with researchers from the Shiv Nadar Institution of Eminence, combined vanadium oxide with MXene, a highly conductive, ultra-thin material.

In this composite, MXene forms a conductive network that stabilises the vanadium oxide and provides smooth pathways for ion movement. “This significantly reduces the dissolution of vanadium into the electrolyte — from 28.3 ppm in pure vanadium oxide to 5.4 ppm in the composite,” says a press release.

As a result, battery performance improves markedly. The composite retains over 73 per cent of its original capacity after 100 charge cycles and about 59 per cent even after 500 cycles, substantially better than conventional designs.

Further analysis showed that the MXene framework helps preserve the electrode’s structure during operation, preventing the cracks and damage that typically degrade aluminium-ion batteries.

More Like This

Published on April 20, 2026