Micropower Energy Harvesting
Total Page:16
File Type:pdf, Size:1020Kb
Solid-State Electronics 53 (2009) 684–693 Contents lists available at ScienceDirect Solid-State Electronics journal homepage: www.elsevier.com/locate/sse Micropower energy harvesting R.J.M. Vullers a,*, R. van Schaijk a, I. Doms b, C. Van Hoof a,b, R. Mertens b a IMEC/Holst Centre, High Tech Campus 31, 5656 AE Eindhoven, The Netherlands b IMEC, Kapeldreef 75, 3001 Leuven, Belgium article info abstract Article history: More than a decade of research in the field of thermal, motion, vibration and electromagnetic radiation Received 17 November 2008 energy harvesting has yielded increasing power output and smaller embodiments. Power management Accepted 22 December 2008 circuits for rectification and DC–DC conversion are becoming able to efficiently convert the power from Available online 25 April 2009 these energy harvesters. This paper summarizes recent energy harvesting results and their power man- agement circuits. The review of this paper was arranged by Prof. P. Ashburn Ó 2009 Elsevier Ltd. All rights reserved. Keywords: Energy harvesting Micromachining Power management Micropower 1. Introduction different ambient situation are considered. They correspond to var- ious level of available power, and hence of generated electrical The low power consumption of silicon-based electronics has en- power. We notice that outdoor-light outperforms all other energy abled a broad variety of battery-powered handheld, wearable and sources, but indoor-light is fairly comparable to thermal and vibra- even implantable devices. A range of wireless devices spanning tion energy. We also notice that while industrial environments six orders of magnitude power consumption are shown in Table seem to have energy to spare, around the body energy is far more 1, with their typical autonomy. limited. All these devices need a compact, low-cost and lightweight en- Table 2 suggests that energy harvesters can be used effectively ergy source, which enables the desired portability and energy in the 10 lW to 1 mW range, which is typical of wireless sensor autonomy. Today batteries represent the dominant energy source nodes. A sensor node is a device made of (i) a sensor which will for the devices in Table 1 and alike. In spite of the fact that energy capture the required physical or chemical parameters, (ii) of an density of batteries has increased by a factor of 3 over the past ADC and signal processor module which will be used for trans- 15 years, in many cases their presence has a large impact, or even forming the measurements into useful (digital) information, and dominate, size and operational cost. For this reason alternative (iii) of a radio module which will allow communication with exter- solutions to batteries are the subjects of worldwide extended nal portable devices. investigations. One possibility is to replace them with energy stor- The power consumption of a sensor node has been estimated age systems featuring larger energy density, e.g., miniaturized fuel by various authors, recent works [2,3] quote values between 1 cells [1]. A second possibility consists in providing the energy nec- and 20 lW. Consumption strongly depends on the complexity essary to the device in a wireless mode; this solution, already used of the sensed quantity and on the number of times per second for RFID tag, can be extended to more power hungry devices, but it it has to be transmitted. Practical implementation of a sensor requires dedicated transmission infrastructures. A third possibility node show that 90 lW is enough to power a pulse oxymeter is harvesting energy from the ambient by using for example, vibra- sensor, to process data and to transmit them at intervals of tion/motion energy, thermal energy, light or RF radiation. Table 2 15 s [4]. The value of 100 lW reported in Table 1 is therefore summarizes the output power that could be obtained from envi- representative of relatively complex nodes, for systems operating ronmental sources when using optimized devices built with the at relative high data-rate. currently available transducer technology. For each type of sources, Wireless sensor networks are made of large numbers of small, low-cost sensor nodes working in collaboration to collect data * Corresponding author. and transmit them to a base station via a wireless network. They E-mail address: [email protected] (R.J.M. Vullers). are finding growing application in body area networks and health 0038-1101/$ - see front matter Ó 2009 Elsevier Ltd. All rights reserved. doi:10.1016/j.sse.2008.12.011 R.J.M. Vullers et al. / Solid-State Electronics 53 (2009) 684–693 685 Table 1 Selected battery-operated systems. Device type Power consumption Energy autonomy Smartphone 1 W 5 h MP3 player 50 mW 15 h Hearing aid 1 mW 5 days Wireless sensor node 100 lW Lifetime Cardiac pacemaker 50 lW 7 years Quartz watch 5 lW 5 years Table 2 Characteristics of various energy sources available in the ambient and harvested Fig. 2. A typical scenario for the power consumption of a sensor node. Since the power. consumption does not equally match the harvester output, an energy buffer and power management IC in between is necessary. Source Source power Harvested power Ambient light 2 2 Indoor 0.1 mW/cm 10 lW/cm Table 3 2 2 Outdoor 100 mW/cm 10 mW/cm Characteristics of batteries and supercapacitors. Vibration/motion Human 0.5 m @ 1 Hz 1 m/s2 @50Hz 4lW/cm2 Battery Supercapacitor Industrial 1 m @ 5 Hz 10 m/s2 @ 1 kHz 100 lW/cm2 Li-ion Thin filma Thermal energy Human 20 mW/cm2 30 lW/cm2 Operating voltage (V) 3–3.70 3.70 1.25 Industrial 100 mW/cm2 1–10 mW/cm2 Energy density (W h/l) 435 <50 6 RF Specific energy (W h/kg) 211 <1 1.5 Cell phone 0.3 lW/cm2 0.1 lW/cm2 Self-discharge rate (%/month) at 20 °C 0.1–1 0.1–1 100 Cycle life (cycles) 2000 >1000 >10,000 Temperature range (°C) À20/50 À20/+70 À40/+65 a monitoring of machine, industrial and civil structures. These net- Data calculated including the packaging. works are intended in many cases to operate for a period of years. Because of the large numbers of devices and of their small size, Abolishing the energy storage system altogether is not an op- changing the battery is unpractical or simply not feasible. Increas- tion in most cases. In practice, a wireless sensor node needs a wire- ing the size of the battery to ensure energy autonomy during the less transceiver. The peak currents needed during transmit and lifetime of the system would increase system size and cost beyond receive operation go beyond what is achievable using the harvester what is tolerable. The combination of an energy harvester with a alone (see Fig. 2). Furthermore, buffering is also needed to ensure small-sized rechargeable battery (or with another energy storage continuous operation during times without power generation. system like a thin-film rechargeable battery or a super capacitor) Depending on the application, the energy storage system can be is the best approach to enable energy autonomy of the network a battery or a supercapacitor. over the entire lifetime. Most promising batteries are based on Li-ion-polymer and were In Fig. 1a comparison is made for several energy storage sys- first developed in 1997. Recently thin film and microelectronics tems. A volume of 1 cm3 is assumed. If the power consumption integration technology has been utilized to fabricate thin film bat- of the sensor node is approximately 100 lW, the lifetime of a pri- teries. Unlike conventional batteries, thin film batteries can be mary battery is only a few months. The combination of a recharge- integrated directly in Integrated Circuit (IC) packages in any shape able battery and an energy harvester with a power generation of or size, and when fabricated on thin plastics, some are flexible. One 100 lW is shown for comparison. In such case the harvester en- important drawback of this technology is higher impedance values sures power for the whole lifetime. when compared to Li-ion. As a result, the discharge efficiency [5,6] Fig. 1. Comparison of lifetime versus power consumption for several energy storage systems (1 cm3), including one with an energy harvester. 686 R.J.M. Vullers et al. / Solid-State Electronics 53 (2009) 684–693 of this battery will be lower when compared to that of a Li-ion bat- raised, reliability needs to be achieved, and cost-effective produc- tery with liquid electrolyte material. tion has to be established. Supercapacitors bridge the gap between batteries and con- In a first and rather crude approximation, resonant harvesters ventional capacitors. This technology is especially suited for can be treated as a velocity damped mass spring system, described applications where a large amount of power is often needed for by the following differential equation: fractions of a second to several minutes. m€z þðd þ d Þz_ þ kz ¼ my€ ð1Þ The main characteristics of the batteries and supercapacitors g are illustrated in Table 3. The characteristics calculated for the bat- z represent the motion of the mass,dg the damping due to the trans- teries and supercapacitors are based on measurements carried out fer of mechanical energy to the electrical load, d the one due to par- with in-house equipment and the best-known storage systems. It asitic effects, e.g. presence of air, friction of sliding surfaces and follows from Table 3 that battery and supercapacitors differ similar, k the spring constant of the suspension, m the moving mass strongly on the main parameters. Therefore, the choice between and y the amplitude of the frame movement in z direction (see the two systems for use as a buffer really depends on the require- Fig.