Power Efficient e-Bike with Terrain Adaptive Intelligence

Abhilash, Dhammughari; Wani, Iqbal; Joseph, K.; Jha, Rashmi; Haneesh, K. M.

doi:10.1109/icces45898.2019.9002178

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Some articles addressed the fundamental aspects of an electric bike (see Figure 2), such as motor control (i.e., field-oriented [16,17], fuzzy logic [18][19][20], firefly algorithm [21], particle swarm optimization [22], model predictive [23], reinforcement learning [24], and others [25][26][27][28][29][30][31]) using different inputs, such as torque (human and machine), power and speed to control the bike's motor. Studies on battery management system (BMS) and energy recovery [18,23,[31][32][33][34], explored methods of supervising and charging the batteries used by the bikes (State of Health and State of Charges) and also explored the possibility of recovering energy by braking and in downhill situations.…”

Section: Inclusion Criteriamentioning

confidence: 99%

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

Avina-Bravo

Cassirame

Escriba

et al. 2022

Sensors

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This paper aims to provide a review of the electrically assisted bicycles (also known as e-bikes) used for recovery of the rider’s physical and physiological information, monitoring of their health state, and adjusting the “medical” assistance accordingly. E-bikes have proven to be an excellent way to do physical activity while commuting, thus improving the user’s health and reducing air pollutant emissions. Such devices can also be seen as the first step to help unhealthy sedentary people to start exercising with reduced strain. Based on this analysis, the need to have e-bikes with artificial intelligence (AI) systems that recover and processe a large amount of data is discussed in depth. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to complete the relevant papers’ search and selection in this systematic review.

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Section: Inclusion Criteriamentioning

confidence: 99%

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

Avina-Bravo

Cassirame

Escriba

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The controller will reduce progressively the power and cut it off if the speed reaches 25 km/h, or if the cyclist stops pedaling [356]. These systems allow people with different physical conditioning to ride together in the same track, where each member can choose the adequate electric machine assistance level [357][358][359].…”

Section: Electric Bicyclesmentioning

confidence: 99%

A Review on Power Electronics Technologies for Electric Mobility

et al. 2020

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Concerns about greenhouse gas emissions are a key topic addressed by modern societies worldwide. As a contribution to mitigate such effects caused by the transportation sector, the full adoption of electric mobility is increasingly being seen as the main alternative to conventional internal combustion engine (ICE) vehicles, which is supported by positive industry indicators, despite some identified hurdles. For such objective, power electronics technologies play an essential role and can be contextualized in different purposes to support the full adoption of electric mobility, including on-board and off-board battery charging systems, inductive wireless charging systems, unified traction and charging systems, new topologies with innovative operation modes for supporting the electrical power grid, and innovative solutions for electrified railways. Embracing all of these aspects, this paper presents a review on power electronics technologies for electric mobility where some of the main technologies and power electronics topologies are presented and explained. In order to address a broad scope of technologies, this paper covers road vehicles, lightweight vehicles and railway vehicles, among other electric vehicles.

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Power assistance algorithm of an E-Trike for older adults based on inverse dynamics

Rosa

Kim

2021

Intel Serv Robotics

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Power Efficient e-Bike with Terrain Adaptive Intelligence

Cited by 5 publications

References 8 publications

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

A Review on Power Electronics Technologies for Electric Mobility

Power assistance algorithm of an E-Trike for older adults based on inverse dynamics

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